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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 |
Explore Pages
Workflows
- Workflow:Zai org CogVideo Diffusers Image to Video Inference
- Workflow:Kornia Kornia Image Feature Matching
- Workflow:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Confident ai Deepeval AI Agent Evaluation
- Workflow:DataExpert io Data engineer handbook AB Experimentation Server
- Workflow:ClickHouse ClickHouse Contributing Pull Request
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Treeverse LakeFS Data Version Control With Branches
- Workflow:Langgenius Dify RAG Pipeline Development
Principles
- Principle:DataTalksClub Data engineering zoomcamp Environment Setup
- Principle:Avhz RustQuant Instrument Abstraction
- Principle:Alibaba MNN MNN Build System
- Principle:Interpretml Interpret Debug And Logging
- Principle:Mit han lab Llm awq INT4 Weight Packing
- Principle:PeterL1n BackgroundMattingV2 Realtime display
- Principle:Heibaiying BigData Notes MapReduce Map Phase
- Principle:FlowiseAI Flowise User Management
- Principle:Guardrails ai Guardrails CLI Configuration
- Principle:Cleanlab Cleanlab Datalab Regression Label Issue Detection
Implementations
- Implementation:SqueezeAILab ETS Sglang Launch Policy Server
- Implementation:Ggml org Llama cpp Common Batch Add
- Implementation:AUTOMATIC1111 Stable diffusion webui DDPM V1 Diffusion Model
- Implementation:Open compass VLMEvalKit Build Judge
- Implementation:Microsoft Onnxruntime ORTModule Training Execution
- Implementation:Nightwatchjs Nightwatch Nightwatch CLI Init
- Implementation:ClickHouse ClickHouse Install Script
- Implementation:Online ml River Rust Stats
- Implementation:FlagOpen FlagEmbedding Matryoshka Mistral Model Compensation
- Implementation:Huggingface Optimum BaseOptimumCLICommand
Heuristics
- Heuristic:Bigscience workshop Petals KV Cache Sizing For Attention Types
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Google deepmind Mujoco Mesh Quality For Collision
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:ARISE Initiative Robomimic BatchNorm To GroupNorm For EMA
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Ucbepic Docetl Optimizer Sample Sizes
- Heuristic:AUTOMATIC1111 Stable diffusion webui GTX 16 Series FP16 Workaround
- Heuristic:Evidentlyai Evidently Statistical Test Auto Selection
Environments
- Environment:ARISE Initiative Robomimic HDF5 Data Dependencies
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Nautechsystems Nautilus trader Databento API Credentials
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:Vllm project Vllm Environment Variables
- Environment:HKUDS AI Trader Browser Runtime
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Cleanlab Cleanlab Datalab Dependencies