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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:Elevenlabs Elevenlabs python Realtime TTS Streaming
- Workflow:Google deepmind Mujoco Model compilation and conversion
- Workflow:Astronomer Astronomer cosmos Dbt docs generation
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Evidentlyai Evidently Monitoring Dashboard Setup
- Workflow:Googleapis Python genai Image Generation Pipeline
- Workflow:ArroyoSystems Arroyo Local Pipeline Execution
- Workflow:PacktPublishing LLM Engineers Handbook RAG Inference
- Workflow:Dagster io Dagster ETL Pipeline
- Workflow:Pytorch Serve HuggingFace Transformer Serving
Principles
- Principle:Open compass VLMEvalKit Custom Prompt Building
- Principle:Dagster io Dagster Dynamic Partitioning
- Principle:FMInference FlexLLMGen Async IO NVMe Operations
- Principle:Webdriverio Webdriverio Mobile Selector Optimization
- Principle:Vespa engine Vespa CMake Configuration
- Principle:NVIDIA TransformerEngine KV Cache Inference
- Principle:OpenGVLab InternVL Vision Language Model Loading
- Principle:LaurentMazare Tch rs Forward Pass Inference
- Principle:Apache Druid Explore State Management
- Principle:Apache Flink File Source Framework
Implementations
- Implementation:Speechbrain Speechbrain Whisper Dataio Prepare
- Implementation:Vllm project Vllm CPU Activation
- Implementation:Sgl project Sglang Attention Ops
- Implementation:Sgl project Sglang Scalar Type Python
- Implementation:Hiyouga LLaMA Factory WebUI Runner
- Implementation:Google deepmind Dm control Variation Distributions
- Implementation:Ucbepic Docetl JoinOptimizer
- Implementation:Tencent Ncnn Mlir2ncnn
- Implementation:CARLA simulator Carla MeshSimplify
- Implementation:Langgenius Dify Optimize Standalone
Heuristics
- Heuristic:Predibase Lorax Flash Attention Backend Selection
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:CarperAI Trlx Delta Rewards
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:AnswerDotAI RAGatouille Index Rebuild Vs Update Decision
- Heuristic:Marker Inc Korea AutoRAG One Dataset Per Project Directory
- Heuristic:Rapidsai Cuml GPU Cache Alignment
- Heuristic:Nautechsystems Nautilus trader Inflight Order Check Threshold
Environments
- Environment:Snorkel team Snorkel PySpark
- Environment:Openai Whisper PyTorch CUDA
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:Snorkel team Snorkel PyTorch
- Environment:Princeton nlp SimPO CUDA Training
- Environment:Promptfoo Promptfoo SQLite Database
- Environment:MarketSquare Robotframework browser Node Runtime
- Environment:Arize ai Phoenix LLM Provider SDKs
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:Openai Openai python Azure OpenAI