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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:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Ollama Ollama Custom Model Creation
- Workflow:PeterL1n BackgroundMattingV2 Video matting inference
- Workflow:Openai Openai python Responses API Text Generation
- Workflow:Teamcapybara Capybara Custom Selector Definition
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:Romsto Speculative Decoding Ngram Assisted Speculative Decoding
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Spcl Graph of thoughts Custom GoT Use Case Integration
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
Principles
- Principle:Mlc ai Web llm Function Calling Model Selection
- Principle:Huggingface Datatrove NGram Decontamination
- Principle:Diagram of thought Diagram of thought Reasoning Path Analysis
- Principle:Mlflow Mlflow Database Schema Management
- Principle:Apache Paimon BTree Global Index
- Principle:Online ml River Dummy Baseline Estimation
- Principle:Google deepmind Dm control Robot Configuration
- Principle:Ray project Ray Cross Language Function Descriptors
- Principle:Speechbrain Speechbrain Audio Interpretability
- Principle:Microsoft Agent framework YAML Agent Loading
Implementations
- Implementation:Hpcaitech ColossalAI Eval JSON Config
- Implementation:Alibaba MNN Protobuf Descriptor PB H
- Implementation:Datajuicer Data juicer GenerateQAFromTextMapper Process
- Implementation:Open compass VLMEvalKit Track Progress Rich
- Implementation:Mlc ai Mlc llm Convert Tiktoken
- Implementation:Scikit learn contrib Imbalanced learn BorderlineSMOTE
- Implementation:Avhz RustQuant AnalyticOptionPricer new
- Implementation:Truera Trulens Session Get Records And Feedback
- Implementation:Openai Whisper Set Alignment Heads
- Implementation:Truera Trulens Otel CreateTreeFromCalls
Heuristics
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
- Heuristic:Mlfoundations Open flamingo Deterministic Shard Shuffling
- Heuristic:Huggingface Transformers Gradient Checkpointing Memory Tradeoff
- Heuristic:Pyro ppl Pyro Numerical Stability Patterns
- Heuristic:PacktPublishing LLM Engineers Handbook Token Window Safety Margin
- Heuristic:DataTalksClub Data engineering zoomcamp Dbt Materialization Strategy
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:SqueezeAILab ETS Softmax Temperature Tuning
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:Avhz RustQuant Discretization Scheme Selection
Environments
- Environment:CarperAI Trlx DeepSpeed Multi GPU
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Openai Evals Python Runtime
- Environment:Allenai Open instruct Ray Distributed
- Environment:Heibaiying BigData Notes Java 8 Maven Environment
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Guardrails ai Guardrails Python 3 10 Runtime