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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:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Openai Openai node Function Calling
- Workflow:Microsoft Autogen Swarm Agent Handoff
- Workflow:PeterL1n BackgroundMattingV2 Model export
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Langgenius Dify Docker Deployment
- Workflow:Allenai Open instruct SFT Finetuning
- Workflow:Mlfoundations Open flamingo Few Shot Evaluation
- Workflow:Apache Hudi Flink MOR Compaction
- Workflow:Googleapis Python genai Multimodal Content Generation
Principles
- Principle:Alibaba ROLL Video Generation and Reward
- Principle:LLMBook zh LLMBook zh github io Low Rank Adaptation
- Principle:Webdriverio Webdriverio Batching Pattern
- Principle:Langgenius Dify Role Based Access Control
- Principle:Ggml org Llama cpp Embedding Normalization
- Principle:Heibaiying BigData Notes Storm Topology Wiring
- Principle:Roboflow Rf detr GT Prediction Comparison
- Principle:Bitsandbytes foundation Bitsandbytes Matmul Performance Estimation
- Principle:OpenRLHF OpenRLHF Reward Shaping
- Principle:Openai Openai agents python Package Configuration
Implementations
- Implementation:Predibase Lorax Medusa LoRA Adapter
- Implementation:Onnx Onnx Gen Doc
- Implementation:Microsoft Playwright LocalUtilsDispatcher
- Implementation:InternLM Lmdeploy PytorchEngineConfig
- Implementation:Helicone Helicone Provider Key Types
- Implementation:Google deepmind Mujoco mjv makeScene
- Implementation:Online ml River Base Base
- Implementation:Togethercomputer Together python Endpoints Resource
- Implementation:Triton inference server Server L0 Perf Simple Client
- Implementation:NVIDIA NeMo Curator BucketsToEdgesStage
Heuristics
- Heuristic:TA Lib Ta lib python Thread Safety With Abstract API
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:Huggingface Datatrove VLLM Startup Optimization
- Heuristic:Openai Openai node Retry Backoff Configuration
- Heuristic:Helicone Helicone Rate Limiting Fail Open
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Apache Airflow Variable Access Pattern
- Heuristic:Ggml org Ggml Gradient Accumulation Batch Sizing
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
Environments
- Environment:Iterative Dvc Python Runtime
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Sgl project Sglang Prometheus
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Sgl project Sglang CUDA
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:Huggingface Datatrove S3 Storage Environment
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Pyro ppl Pyro CUDA GPU Acceleration