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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:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Alibaba ROLL DPO Training Pipeline
- Workflow:Spcl Graph of thoughts GoT Sorting Pipeline
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:NVIDIA TransformerEngine Accelerate HF Gemma With TE
- Workflow:Evidentlyai Evidently ML Model Quality Report
- Workflow:Guardrails ai Guardrails Server Deployment
- Workflow:Langchain ai Langgraph Building a Stateful Graph
Principles
- Principle:Speechbrain Speechbrain Perceptual Quality Evaluation
- Principle:Teamcapybara Capybara Browser Specialization
- Principle:Langchain ai Langgraph Agent State Schema
- Principle:Unstructured IO Unstructured Basic Chunking
- Principle:Pola rs Polars Python Binding Configuration
- Principle:NVIDIA DALI File Reading
- Principle:Online ml River Streaming Regression Metrics
- Principle:ARISE Initiative Robosuite Mobile Base Velocity Control
- Principle:Mbzuai oryx Awesome LLM Post training Progressive Data Checkpointing
- Principle:Lm sys FastChat Arena Usage Statistics
Implementations
- Implementation:Recommenders team Recommenders Spark Random Split
- Implementation:Tensorflow Serving static source router h
- Implementation:Vllm project Vllm CPU Types Scalar
- Implementation:Arize ai Phoenix Evals Rate Limiters
- Implementation:Turboderp org Exllamav2 ExLlamaV2Tokenizer
- Implementation:Ggml org Ggml Cpu backend api
- Implementation:Tensorflow Serving Util Test
- Implementation:Ollama Ollama Llama Models Registry
- Implementation:LaurentMazare Tch rs Tensor Npy
- Implementation:InternLM Lmdeploy Gemm DispatchCache
Heuristics
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:Alibaba MNN Backend Selection Guide
- Heuristic:Sdv dev SDV HMA Schema Simplification
- Heuristic:Trailofbits Fickling Force Flag Bypass
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Anthropics Anthropic sdk python Retry Backoff Strategy
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:Promptfoo Promptfoo Transient Error Classification
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
Environments
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Snorkel team Snorkel PySpark
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Openai Evals OpenAI API Configuration
- Environment:Apache Hudi Java Maven Build Environment
- Environment:Avhz RustQuant Rust Stable
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:Diagram of thought Diagram of thought Python Graph Libraries
- Environment:CARLA simulator Carla Build From Source Requirements