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feat(cli): Add --diff / --suggest mode for automated random_state suggestions 18 days ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

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feat(cli): Add baseline file support (--write-baseline / --baseline) for gradual adoption 19 days ago

enhancement help wanted

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36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(config): Support per-rule severity overrides and rule ignore lists in pyproject.toml 19 days ago

enhancement help wanted

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36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

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feat(verify): Support numeric tolerance (epsilon / abs_tol / rel_tol) in verify and compare 19 days ago

enhancement help wanted

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36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(init): Add a reproducible PyTorch & Lightning template to repro-lens init 19 days ago

enhancement help wanted

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36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

docs(examples): Add realistic Hugging Face fine-tuning tutorial & interactive gallery case 19 days ago

documentation good first issue

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36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect stale / un-split JAX PRNG keys (R122) 19 days ago

enhancement help wanted

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36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(action): Add PR Commenter mode to GitHub Action for visual reproducibility summaries 22 days ago

enhancement help wanted stale

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

perf(analysis): Implement parallel multi-process scanning for large codebases 22 days ago

enhancement help wanted stale

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(bundle): Add portable, hash-verified experiment capsules 22 days ago

enhancement help wanted stale

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Flag torch.cuda.manual_seed without manual_seed_all in multi-GPU code (R124) 29 days ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect unseeded DistributedSampler & missing set_epoch() in PyTorch DDP (R121) 29 days ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Hugging Face Transformers TrainingArguments / Trainer determinism check (R117) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Review CUDA determinism without CUBLAS_WORKSPACE_CONFIG set (R120) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Review PyTorch DataLoader with num_workers > 0 lacking worker_init_fn (R116) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(verify): Verify input dataset immutability via SHA256 snapshot hashes about 1 month ago

enhancement help wanted claimed

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(policy): Verify lockfile synchronicity with active environment before verify (P204) about 1 month ago

enhancement help wanted claimed

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(ci): GitHub Action check-run summary with collapsible failure diffs about 1 month ago

enhancement help wanted claimed

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(cli): Add --add-ignores flag to batch-suppress legacy warnings with comments about 1 month ago

enhancement help wanted claimed

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(cli): Add rich terminal output mode (--format pretty) with code underlines about 1 month ago

enhancement good first issue claimed

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

docs(examples): Reproducible DeepSpeed & Megatron-LM distributed training tutorial about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(analysis): Intra-procedural taint tracking for unseeded RNG parameters about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(fix): Concrete Syntax Tree (CST) based lossless autofixes for missing seeds about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(lsp): Implement lightweight Language Server Protocol (LSP) for editor diagnostics about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(engine): Custom YAML-based rule definitions (plugin architecture) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(export): Export verification & compare evidence as W&B / MLflow run artifacts about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(agent): Generate machine-readable agent review verdicts for AI assistants (agent-eval) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(verify): Add containerized/isolated replay mode via Docker/Podman (--sandbox) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(verify): Multi-seed experiment variance & confidence interval verification (--seeds) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(notebooks): Detect out-of-order execution risk via notebook execution count gaps (R131) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(verify): Audit multi-threading determinism (OMP_NUM_THREADS, MKL_NUM_THREADS) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Warn on GPU operations with non-deterministic CUDA atomicAdd (R130) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect non-deterministic partition shuffling in Dask DataFrames (R129) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Flag order-dependent iteration over unordered sets/dicts in feature pipelines (R128) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect unseeded dataset.shuffle() in Hugging Face Datasets (R127) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect train-test data leakage via pre-split fit() / fit_transform() (R126) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect non-deterministic LLM generation parameters in vLLM & Hugging Face (R125) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect unseeded Ray Train / Ray Tune distributed worker actors (R123) about 1 month ago

enhancement help wanted

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect unseeded CatBoostClassifier / CatBoostRegressor (R119) about 1 month ago

enhancement good first issue

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(verify): Capture hardware & runtime fingerprint (CPU, GPU, CUDA, OS) in verification reports about 1 month ago

enhancement good first issue

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

feat(rules): Detect Polars DataFrame random sampling without seed (R118) about 1 month ago

enhancement good first issue

00200200/repro-lens

36

Static reproducibility checks, experiment replay and before/after evidence for ML code and coding agents — no ML dependencies for scans.

Python

#agent-skills#code-analysis#coding-agents#data-science#lightgbm#machine-learning#ml-testing#mlops#pre-commit#python#pytorch#pytorch-lightning#randomness#reproducibility#reproducible-ml#reproducible-research#scikit-learn#static-analysis#tensorflow#xgboost

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