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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:VainF Torch Pruning CNN Pruning
- Workflow:Lm sys FastChat ShareGPT Data Pipeline
- Workflow:Predibase Lorax Single LoRA Inference
- Workflow:Wandb Weave Evaluation Pipeline
- Workflow:Huggingface Trl PPO RLHF Training
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Rapidsai Cuml GPU Clustering
- Workflow:ChenghaoMou Text dedup Benchmark Evaluation
- Workflow:Diagram of thought Diagram of thought DoT Trace Extraction
Principles
- Principle:ArroyoSystems Arroyo Graceful Shutdown
- Principle:DevExpress Testcafe Assertion Retry Logic
- Principle:Kserve Kserve Model Explainability
- Principle:Mlc ai Web llm Web Worker Engine Handler
- Principle:MarketSquare Robotframework browser Library Import and Configuration
- Principle:Eventual Inc Daft Iceberg Writing
- Principle:Google deepmind Mujoco Simulation Options Initialization
- Principle:Gretelai Gretel synthetics Timeseries Data Generation
- Principle:Eric mitchell Direct preference optimization Dataset Registration
- Principle:Deepset ai Haystack Documentation Navigation Structure
Implementations
- Implementation:Recommenders team Recommenders NCF NNI Utils
- Implementation:Openai Openai agents python Image Tool Output Pattern
- Implementation:Diagram of thought Diagram of thought Iterative Reasoner Prompt Loading
- Implementation:Onnx Onnx ArrayRef
- Implementation:Triton inference server Server L0 Model Queue Test
- Implementation:Openai Openai python Vector Store Update Params
- Implementation:Microsoft Playwright CssTokenizer
- Implementation:Teamcapybara Capybara XPathBuilder
- Implementation:DataTalksClub Data engineering zoomcamp Java JsonKStreamJoins
- Implementation:Getgauge Taiko ScrollTo
Heuristics
- Heuristic:Lucidrains X transformers MaskGIT Generation Tuning
- Heuristic:Danijar Dreamerv3 Replay Context Carry Init
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Wandb Weave Batch Processing Tuning
- Heuristic:Duckdb Duckdb Memory Management Rules
- Heuristic:Langchain ai Langgraph Deprecation Migration Guide
- Heuristic:Run llama Llama index Finetuning Warmup Steps
- Heuristic:Huggingface Open r1 Test Batch Early Termination
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
Environments
- Environment:Farama Foundation Gymnasium Box2D Physics Backend
- Environment:Kserve Kserve Cert Manager
- Environment:Eric mitchell Direct preference optimization Python Dependencies
- Environment:Mit han lab Llm awq CUDA Build Environment
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Apache Spark Kubernetes Runtime
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Openai Openai agents python Python 3 9 Runtime