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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 |
Explore Pages
Workflows
- Workflow:Microsoft Playwright AI agent driven testing
- Workflow:Scikit learn Scikit learn Cross Validation Evaluation
- Workflow:Ucbepic Docetl Long Document Chunking
- Workflow:Arize ai Phoenix Prompt Management Pipeline
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Langgenius Dify Knowledge Base Creation
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:Duckdb Duckdb Extension Development And Distribution
- Workflow:CARLA simulator Carla Simulation Setup and First Steps
Principles
- Principle:Triton inference server Server Protocol Endpoint Testing
- Principle:Microsoft Agent framework Magentic Orchestration Pattern
- Principle:Huggingface Transformers Input Preprocessing
- Principle:NVIDIA DALI Image Resize Augmentation
- Principle:Duckdb Duckdb JSON Processing
- Principle:Huggingface Datatrove Context Window Shuffling
- Principle:OpenGVLab InternVL Transformer Decoder Architecture
- Principle:Pyro ppl Pyro No U Turn Sampling
- Principle:Groq Groq python Text Embedding Request
- Principle:ArroyoSystems Arroyo Two Phase Commit
Implementations
- Implementation:Mlc ai Web llm Async Generate
- Implementation:Kubeflow Pipelines Dsl Graph Component
- Implementation:Alibaba ROLL ContextParallelGather
- Implementation:Online ml River Multiclass OneVsOne
- Implementation:Deepspeedai DeepSpeed XPU Adagrad
- Implementation:Avhz RustQuant Interpolator Trait
- Implementation:MarketSquare Robotframework browser Clock Grpc Handlers
- Implementation:Mlflow Mlflow Clint Symbol Index
- Implementation:Apache Airflow Stats Initialize
- Implementation:Mlc ai Mlc llm Calibrate Interface
Heuristics
- Heuristic:NVIDIA DALI Warning Deprecated C API V1 Functions
- Heuristic:ContextualAI HALOs Humanline Clamping
- Heuristic:Princeton nlp SimPO BOS Token Handling
- Heuristic:Microsoft DeepSpeedExamples SuperOffload NUMA Binding
- Heuristic:Facebookresearch Habitat lab Warning Deprecated Legacy UI System
- Heuristic:FMInference FlexLLMGen Pin Memory Tradeoffs
- Heuristic:LLMBook zh LLMBook zh github io Deduplication Ngram Threshold
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
Environments
- Environment:Run llama Llama index Fsspec Remote Storage
- Environment:Haifengl Smile Java 25 Runtime
- Environment:ClickHouse ClickHouse CI Docker Environment
- Environment:Ollama Ollama GPU Runtime
- Environment:Vespa engine Vespa CMake Cpp23 Build Environment
- Environment:Intel Ipex llm Pipeline Parallel Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Eventual Inc Daft Python PyArrow Core
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Bentoml BentoML NVIDIA GPU Resource