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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:Diagram of thought Diagram of thought DoT Trace Extraction
- Workflow:NVIDIA NeMo Aligner Supervised Fine Tuning
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Neuml Txtai Agent Execution
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:OpenHands OpenHands Conversation Lifecycle Management
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:Openai Evals Creating a model graded eval
- Workflow:Vllm project Vllm Offline Text Generation
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
Principles
- Principle:Nightwatchjs Nightwatch Cucumber Dependency Setup
- Principle:Puppeteer Puppeteer Data Extraction
- Principle:Turboderp org Exllamav2 Layer Normalization
- Principle:Facebookresearch Habitat lab Dataset and Scene Preparation
- Principle:CrewAIInc CrewAI Task Replay
- Principle:Huggingface Datasets HDF5 Dataset Building
- Principle:HKUDS AI Trader Frontend Data Loading
- Principle:Openai CLIP Top K Accuracy Evaluation
- Principle:Intel Ipex llm Document Chunking
- Principle:Huggingface Alignment handbook Direct Preference Optimization
Implementations
- Implementation:SeleniumHQ Selenium NetworkInterceptor Constructor
- Implementation:OpenGVLab InternVL Evaluate Sh
- Implementation:Open compass VLMEvalKit RBdashMMChat3Wrapper
- Implementation:Hpcaitech ColossalAI AGIEvalDataset
- Implementation:Alibaba MNN Protobuf Reflection H
- Implementation:Infiniflow Ragflow ChildrenDelimiterForm Component
- Implementation:Huggingface Diffusers ControlNetModel From Pretrained
- Implementation:Datahub project Datahub EntityClient Upsert
- Implementation:EvolvingLMMs Lab Lmms eval VideoMathQA CoT Postprocess
- Implementation:Lucidrains X transformers XTransformer Generate
Heuristics
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Isaac sim IsaacGymEnvs JIT Profiling Optimization
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:Google deepmind Dm control Tolerance Reward Tuning
- Heuristic:Tensorflow Serving Servable Handle Lifetime
- Heuristic:Roboflow Rf detr Batch Size Memory Tradeoff
- Heuristic:EvolvingLMMs Lab Lmms eval Truncated Image Handling
- Heuristic:Teamcapybara Capybara Negative Predicate Matching
- Heuristic:Huggingface Datasets Shuffle Buffer Sizing
- Heuristic:OpenBMB UltraFeedback Score Parsing Robustness
Environments
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:Getgauge Taiko Node Runtime
- Environment:Microsoft Semantic kernel OpenAI API Environment
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Vllm project Vllm AMD ROCm
- Environment:Bitsandbytes foundation Bitsandbytes ROCm AMD Environment
- Environment:Microsoft Semantic kernel ONNX CUDA Environment
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:OpenHands OpenHands Third Party Runtime Credentials