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Your ML & Data Knowledge Wiki. Best practices and expert-level knowledge for Machine Learning and Data Engineering, covering 1000+ frameworks and libraries from training to deployment.
Browse implementation patterns, configuration guides, debugging heuristics, and battle-tested defaults for frameworks like vLLM, DeepSpeed, Megatron-LM, FlashAttention, Triton, Unsloth, LangChain, and many more. Every page is structured so both humans and AI agents can find what they need fast.
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| Category | Description | Browse |
|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
| Principles | Core ideas and foundational knowledge | Browse All |
| Implementations | Code-level details and modules | Browse All |
| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
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Workflows
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Roboflow Rf detr Roboflow Deployment
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Eric mitchell Direct preference optimization DPO Preference Training
- Workflow:Allenai Open instruct Tulu3 Full Post Training
- Workflow:AnswerDotAI RAGatouille ColBERT Training
- Workflow:Dagster io Dagster LLM Fine Tuning
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
Principles
- Principle:Langfuse Langfuse Ingestion Queue Dispatch
- Principle:Gretelai Gretel synthetics Batch Synthetic Generation
- Principle:ARISE Initiative Robomimic Observation Initialization
- Principle:Alibaba ROLL LLM Response Generation
- Principle:Microsoft Playwright Test File Creation
- Principle:Pytorch Serve LLM Quick Start
- Principle:Recommenders team Recommenders Benchmark Results Compilation
- Principle:Huggingface Diffusers Instance Data Collection
- Principle:Huggingface Diffusers Prior Preservation
- Principle:OpenBMB UltraFeedback Score Validation and Correction
Implementations
- Implementation:Datajuicer Data juicer VideoResizeResolutionMapper
- Implementation:Huggingface Optimum Store Input Hook
- Implementation:Openai Evals Registry Get Eval Set
- Implementation:Facebookresearch Habitat lab EqaCnnPretrainDataset
- Implementation:ArroyoSystems Arroyo Datastream Types
- Implementation:Microsoft Onnxruntime CPU LSTM Forward
- Implementation:TA Lib Ta lib python Stream Buffer Pattern
- Implementation:Kornia Kornia Bbox Utilities
- Implementation:Ollama Ollama Imagegen Flux2 Transformer
- Implementation:Pyro ppl Pyro RSA Generics
Heuristics
- Heuristic:Treeverse LakeFS Retry Backoff Configuration
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:VainF Torch Pruning Pruning Ratio vs Parameter Ratio
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Arize ai Phoenix AIMD Concurrency Control
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:Pyro ppl Pyro Enumeration Plate Nesting
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:Openai CLIP L2 Normalization For Cosine Similarity
- Heuristic:Run llama Llama index Chunk Size Optimization
Environments
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Unslothai Unsloth Llama Cpp
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:Datahub project Datahub Spark Lineage Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Unstructured IO Unstructured PDF Dependencies
- Environment:PrefectHQ Prefect Python Runtime Environment