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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:Googleapis Python genai Function Calling and Tools
- Workflow:Haosulab ManiSkill Custom Task Development
- Workflow:Roboflow Rf detr ONNX Export
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Openai Openai node Chat Completion
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Cypress io Cypress Project Setup and Configuration
- Workflow:Lance format Lance Table Optimization
- Workflow:DataTalksClub Data engineering zoomcamp dlt Data Ingestion
Principles
- Principle:Tensorflow Serving Static Path Source
- Principle:PrefectHQ Prefect Worker Configuration
- Principle:Iterative Dvc Stage Freshness Detection
- Principle:Mistralai Client python Streaming Chat Completion
- Principle:Scikit learn Scikit learn Kernel Methods
- Principle:LaurentMazare Tch rs SGD Optimization
- Principle:Apache Druid Schema Discovery
- Principle:Haotian liu LLaVA Conversation Prompt Construction
- Principle:Google deepmind Mujoco JIT Compilation
- Principle:Ollama Ollama ModelArchitecture
Implementations
- Implementation:Online ml River Datasets Taxis
- Implementation:Ucbepic Docetl ExperimentSimpleAgent
- Implementation:Langgenius Dify UsePay
- Implementation:LLMBook zh LLMBook zh github io Apply Rotary Pos Emb
- Implementation:Hpcaitech ColossalAI Model Utils
- Implementation:Kornia Kornia Accuracy Metric
- Implementation:Openai Evals AnthropicSolver
- Implementation:Mage ai Mage ai Azure Blob Storage Source
- Implementation:Apache Druid Docusaurus Site Config
- Implementation:Datahub project Datahub SchemaTronDataHubType
Heuristics
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:Lance format Lance Encoding Compression Thresholds
- Heuristic:Romsto Speculative Decoding KV Cache Instability
- Heuristic:Vllm project Vllm Batch Size Hardware Scaling
- Heuristic:Iamhankai Forest of Thought Input Length Overflow Recovery
- Heuristic:Microsoft BIPIA LLAMA Pad Token Workaround
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Anthropics Anthropic sdk python Adaptive Thinking Over Enabled
- Heuristic:Danijar Dreamerv3 Free Nats KL Thresholding
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
Environments
- Environment:BerriAI Litellm Provider API Credentials
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:Teamcapybara Capybara Ruby And Gem Dependencies
- Environment:Sgl project Sglang CUDA SM100
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Huggingface Alignment handbook Python TRL
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:HKUDS AI Trader Browser Runtime