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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:Bentoml BentoML BentoCloud Deployment
- Workflow:Duckdb Duckdb Extension Development And Distribution
- Workflow:Scikit learn Scikit learn Supervised Classification
- Workflow:Mlc ai Web llm Basic Chat Completion
- Workflow:SeldonIO Seldon core HuggingFace Model Serving
- Workflow:Lm sys FastChat ShareGPT Data Pipeline
- Workflow:Openai Evals Running an eval set
- Workflow:Protectai Llm guard API Server Deployment
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
Principles
- Principle:ArroyoSystems Arroyo Graceful Shutdown
- Principle:Risingwavelabs Risingwave Sink Data Delivery
- Principle:Pyro ppl Pyro Amortized Variational Inference
- Principle:Apache Druid Supervisor Submission
- Principle:FlowiseAI Flowise Authentication
- Principle:ARISE Initiative Robosuite Data Collection Wrapping
- Principle:Apache Hudi Table Schema Definition
- Principle:Microsoft Onnxruntime On Device Training Loop
- Principle:Diagram of thought Diagram of thought Problem Formulation
- Principle:Risingwavelabs Risingwave CDC PostgreSQL Streaming
Implementations
- Implementation:Evidentlyai Evidently Legacy Classification Calculations
- Implementation:Openai Openai agents python Bidirectional Handoff Pattern
- Implementation:Google deepmind Mujoco Engine Init
- Implementation:Cohere ai Cohere python ConnectorsClient
- Implementation:Ggml org Ggml Cann common
- Implementation:Open compass VLMEvalKit Encode Image To Base64
- Implementation:Ggml org Llama cpp Llama Chat Apply Template
- Implementation:Ucbepic Docetl Directive DocCompression
- Implementation:Apache Spark K8s Config Properties
- Implementation:Allenai Open instruct Submit Eval Jobs
Heuristics
- Heuristic:Lm sys FastChat GPU Memory Allocation Strategy
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Google research Deduplicate text datasets Parallel Job Scaling By Data Size
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:Mistralai Client python Stream File Uploads
- Heuristic:OpenRLHF OpenRLHF Gradient Checkpointing Memory Tip
- Heuristic:Norrrrrrr lyn WAInjectBench L2 Normalize CLIP Embeddings
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
Environments
- Environment:Cypress io Cypress Browser Requirements
- Environment:Openai Openai node Node 20 Runtime
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:SeldonIO Seldon core GPU Inference Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Testtimescaling Testtimescaling github io Semantic Scholar API
- Environment:MarketSquare Robotframework browser CI GitHub Actions