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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:Groq Groq python Text To Speech
- Workflow:Mistralai Client python Azure Chat Completion
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Obss Sahi Sliced Inference Pipeline
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:ArroyoSystems Arroyo Checkpoint Recovery
- Workflow:Microsoft Autogen Tool Augmented Agent
- Workflow:Microsoft Agent framework Multi Agent Sequential Orchestration
- Workflow:Truera Trulens RAG With Guardrails
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
Principles
- Principle:Ggml org Llama cpp Template Capability Detection
- Principle:Deepset ai Haystack Documentation Navigation Structure
- Principle:Unstructured IO Unstructured Element Serialization
- Principle:TA Lib Ta lib python C Library Installation
- Principle:Online ml River Active Learning Classification
- Principle:Hiyouga LLaMA Factory Reward Modeling
- Principle:Infiniflow Ragflow Search Query Execution
- Principle:Ollama Ollama Model Alias Resolution
- Principle:Protectai Llm guard Scanner Benchmarking
- Principle:Langchain ai Langgraph Runtime Config Access
Implementations
- Implementation:Intel Ipex llm Axolotl Finetuning
- Implementation:CarperAI Trlx Trlx Train Offline
- Implementation:Hpcaitech ColossalAI Math Competition Reward
- Implementation:Zai org CogVideo Load Image
- Implementation:Speechbrain Speechbrain Train IWSLT22 W2V mBART
- Implementation:Neuml Txtai PGText Scoring
- Implementation:Lance format Lance CompactionTask Execute
- Implementation:Pytorch Serve MMFHandler
- Implementation:Microsoft Agent framework Handler Decorator
- Implementation:FlowiseAI Flowise PostProcessing
Heuristics
- Heuristic:Openai Openai agents python MCP Server Lifecycle Management
- Heuristic:LaurentMazare Tch rs Safetensors Format Preference
- Heuristic:Promptfoo Promptfoo Retry With Jitter
- Heuristic:Bentoml BentoML Platform Serving Caveats
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:Cohere ai Cohere python Warning Deprecated Legacy Generate API
- Heuristic:ChenghaoMou Text dedup False Positive Verification Tradeoff
- Heuristic:Ollama Ollama Download Retry Strategy
Environments
- Environment:Triton inference server Server TRT LLM Deployment
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Pytorch Serve Distributed Training Environment
- Environment:DevExpress Testcafe Docker Xvfb Container
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Intel Ipex llm XPU Inference Environment
- Environment:Sgl project Sglang Python Dependencies
- Environment:MarketSquare Robotframework browser Python Runtime
- Environment:BerriAI Litellm Provider API Credentials