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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:Apache Airflow Core Release Process
- Workflow:Treeverse LakeFS Garbage Collection
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Elevenlabs Elevenlabs python Voice Cloning
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Microsoft DeepSpeedExamples SuperOffload Finetuning
- Workflow:AnswerDotAI RAGatouille In Memory Retrieval
- Workflow:Cleanlab Cleanlab Token Classification Label Quality
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Dagster io Dagster ML Pipeline
Principles
- Principle:Openai Openai node Realtime Session Configuration
- Principle:Apache Kafka Release Branch Preparation
- Principle:Promptfoo Promptfoo CI Notification
- Principle:AUTOMATIC1111 Stable diffusion webui Hypernetwork architecture
- Principle:Mlfoundations Open flamingo Data Quality Filtering
- Principle:Rapidsai Cuml Forest Inference
- Principle:OpenRLHF OpenRLHF Reward Shaping
- Principle:Pyro ppl Pyro Minimal PPL
- Principle:Sgl project Sglang Batch Text Generation
- Principle:Liu00222 Open Prompt Injection Defense Preparation
Implementations
- Implementation:Pyro ppl Pyro SIR Models
- Implementation:Ggml org Llama cpp Ngram Map Header
- Implementation:Teamcapybara Capybara IsDisplayed Atom
- Implementation:Ggml org Ggml Cann aclnn ops api
- Implementation:Confident ai Deepeval DocumentChunker
- Implementation:Hpcaitech ColossalAI Prepare Dataset Preference
- Implementation:NVIDIA TransformerEngine GroupedLinear
- Implementation:Pyro ppl Pyro OneTwoMatching
- Implementation:Helicone Helicone MapperBuilder PathMapper
- Implementation:Vllm project Vllm Speculative Config Dict
Heuristics
- Heuristic:Apache Kafka Coordinator Loading Commit Interval
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
- Heuristic:DevExpress Testcafe Assertion Retry Timing
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Guardrails ai Guardrails RAIL Argument Parsing Security
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:ARISE Initiative Robosuite XML Reset Method Tradeoff
- Heuristic:Farama Foundation Gymnasium Action Space Normalization Tip
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
Environments
- Environment:Diagram of thought Diagram of thought Graphviz
- Environment:Sktime Pytorch forecasting Cpflows MQF2 Dependencies
- Environment:Huggingface Open r1 vLLM Server
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:FlowiseAI Flowise Database Environment
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Openai Openai node WebSocket Dependency
- Environment:Langchain ai Langgraph Postgres Checkpoint Environment
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Vllm project Vllm GitHub