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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:Ggml org Llama cpp Embedding Extraction
- Workflow:OpenGVLab InternVL Preference Optimization
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:ThreeSR Awesome Inference Time Scaling Manual Paper Contribution
- Workflow:Testtimescaling Testtimescaling github io GitHub Pages Course Progression
- Workflow:MarketSquare Robotframework browser Library Development and Release
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
- Workflow:OpenHands OpenHands GitHub Webhook Event Processing
- Workflow:Cypress io Cypress CI Pipeline Integration
- Workflow:Langchain ai Langgraph Persistence and Memory Setup
Principles
- Principle:LLMBook zh LLMBook zh github io LoRA Training Execution
- Principle:Zai org CogVideo Dataset Preparation
- Principle:Wandb Weave Client Initialization
- Principle:Apache Shardingsphere Metadata Repository Persistence
- Principle:Online ml River Adaptive Random Forest
- Principle:Duckdb Duckdb Release Artifact Upload
- Principle:ClickHouse ClickHouse Code Review Process
- Principle:Ggml org Llama cpp Performance
- Principle:Mlflow Mlflow Model Training
- Principle:Helicone Helicone Provider Registration
Implementations
- Implementation:Evidentlyai Evidently Core Tests
- Implementation:Pyro ppl Pyro Importance
- Implementation:Datajuicer Data juicer ExpandMacroMapper
- Implementation:Mlc ai Web llm Web Worker Chat Completion
- Implementation:FMInference FlexLLMGen DeepSpeed Inference PT Binding
- Implementation:Guardrails ai Guardrails SequentialValidatorService
- Implementation:Microsoft Playwright BidiDeserializer
- Implementation:Webdriverio Webdriverio Utils
- Implementation:PrefectHQ Prefect AI Cleanup Agent
- Implementation:Promptfoo Promptfoo runAssertions
Heuristics
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Alibaba ROLL PPO Clipping Defaults
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Langchain ai Langgraph Stream Mode Selection
- Heuristic:Protectai Modelscan Graceful Scanner Degradation
- Heuristic:Helicone Helicone Anthropic Cache Double Count Prevention
- Heuristic:Kornia Kornia Morphology Engine Selection
- Heuristic:Rapidsai Cuml Batch Size Memory Tradeoff
- Heuristic:Truera Trulens Trace Compression Token Limits
- Heuristic:Haifengl Smile BFGS Convergence Tuning
Environments
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Obss Sahi Python Pycocotools
- Environment:Spotify Luigi Apache Spark
- Environment:Avdvg InjectGuard CUDA GPU
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment