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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:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:Datahub project Datahub Java SDK V2 Entity Management
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Duckdb Duckdb Benchmark Execution
- Workflow:Volcengine Verl Supervised Fine Tuning
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Recommenders team Recommenders Neural Collaborative Filtering
Principles
- Principle:Microsoft Autogen Selector Orchestration
- Principle:Eventual Inc Daft Distributed Scaling Ray
- Principle:Treeverse LakeFS Hook Triggered Commit
- Principle:Kserve Kserve Canary Validation
- Principle:Apache Paimon Distributed Result Collection
- Principle:FlowiseAI Flowise Authentication
- Principle:Openai Evals Completion Function Protocol
- Principle:CrewAIInc CrewAI Embedding Configuration
- Principle:Cohere ai Cohere python Streaming Chat Request
- Principle:Googleapis Python genai Manual Function Execution
Implementations
- Implementation:Hiyouga LLaMA Factory VLLM Engine
- Implementation:Facebookresearch Audiocraft LMModel generate
- Implementation:ARISE Initiative Robosuite PickPlace Environment
- Implementation:Open compass VLMEvalKit MMHelix Cryptomath Eval
- Implementation:Openai Openai python Response Compaction Item
- Implementation:TobikoData Sqlmesh API Meta
- Implementation:Langchain ai Langchain Chroma Max Marginal Relevance Search
- Implementation:Anthropics Anthropic sdk python BetaToolComputerUse 20250124
- Implementation:InternLM Lmdeploy Gemm TiledMma
- Implementation:Open compass VLMEvalKit Physics Utils
Heuristics
- Heuristic:Getgauge Taiko Element Actionability Checks
- Heuristic:NVIDIA DALI NVJPEG Memory Preallocation
- Heuristic:Microsoft Onnxruntime Convergence Debugging Tips
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:Apache Beam Watermark Update Throttling
- Heuristic:AnswerDotAI RAGatouille FAISS Vs PyTorch KMeans Indexing
- Heuristic:OpenGVLab InternVL Loss Reduction Strategy
- Heuristic:Obss Sahi Class Agnostic vs Per Class NMS
Environments
- Environment:Langchain ai Langchain LangSmith Tracing Config
- Environment:Deepset ai Haystack OpenAI API Environment
- Environment:Spotify Luigi Python Runtime
- Environment:Norrrrrrr lyn WAInjectBench OpenAI API Credentials
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:Vibrantlabsai Ragas Optional NLP Metrics Environment
- Environment:Risingwavelabs Risingwave Dashboard Node Environment
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Dagster io Dagster PostgreSQL Storage
- Environment:Langgenius Dify Python Backend Environment