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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 Playwright Codegen test recording
- Workflow:VainF Torch Pruning Sparse Training Pruning
- Workflow:Kserve Kserve Multi Model Serving
- Workflow:Datahub project Datahub Java SDK Metadata Emission
- Workflow:Apache Druid Streaming Ingestion Management
- Workflow:Vespa engine Vespa Config subscription lifecycle
- Workflow:Openai Openai agents python Multi Agent Handoff
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Danijar Dreamerv3 Single Process Training
Principles
- Principle:Online ml River Rust Performance Acceleration
- Principle:Fede1024 Rust rdkafka Transactional Producer Setup
- Principle:Onnx Onnx Model Inspection
- Principle:Scikit learn Scikit learn Gaussian Process
- Principle:Openai Evals HHH Alignment Prompting
- Principle:Online ml River Factorization Machines
- Principle:Google deepmind Mujoco Arena Allocation
- Principle:Langfuse Langfuse Prompt Compilation with Variables
- Principle:Google deepmind Mujoco Offscreen Rendering
- Principle:Mage ai Mage ai Singer Message Ingestion
Implementations
- Implementation:Haotian liu LLaVA LazySupervisedDataset Init
- Implementation:Arize ai Phoenix Client Config
- Implementation:Romsto Speculative Decoding Autoregressive Generate Encoder Decoder
- Implementation:Apache Paimon Ray Data Read Json
- Implementation:Openai Openai agents python Guardrail Attachment Pattern
- Implementation:Huggingface Transformers Quantization Verification Pattern
- Implementation:ClickHouse ClickHouse Nfpm Server Package
- Implementation:Apache Spark Gen Sql Api Docs
- Implementation:Turboderp org Exllamav2 ExLlamaV2Cache
- Implementation:Elevenlabs Elevenlabs python Audio Source Pattern
Heuristics
- Heuristic:Apache Paimon Compression Tuning
- Heuristic:Online ml River Hoeffding Tree Grace Period Tuning
- Heuristic:Zai org CogVideo Memory Optimization Strategies
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:Nightwatchjs Nightwatch Safari Parallel Limitation
- Heuristic:Datahub project Datahub Venv Copies Mode
- Heuristic:Turboderp org Exllamav2 Dynamic Generator Tuning
- Heuristic:Kubeflow Kubeflow Stale Issue Lifecycle Management
- Heuristic:Princeton nlp SimPO Dropout Disabling
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
Environments
- Environment:Ggml org Llama cpp CUDA GPU Environment
- Environment:Volcengine Verl Megatron Core Environment
- Environment:LMCache LMCache CUDA GPU Runtime
- Environment:Online ml River Python Runtime Environment
- Environment:Openai Openai agents python MCP Dependencies
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:Marker Inc Korea AutoRAG VLLM Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop