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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:Nautechsystems Nautilus trader Strategy development
- Workflow:Openai Openai agents python Multi Agent Handoff
- Workflow:Onnx Onnx Model Validation
- Workflow:Apache Dolphinscheduler Workflow Execution Lifecycle
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Hiyouga LLaMA Factory PPO RLHF Training
- Workflow:MarketSquare Robotframework browser Plugin Development
- Workflow:Bentoml BentoML Bento Build And Containerization
- Workflow:Huggingface Transformers Model Quantization
Principles
- Principle:Zai org CogVideo SAT Dataset Preparation
- Principle:OWASP Www project top 10 for large language model applications Manual Adversarial Testing
- Principle:Open compass VLMEvalKit Environment Setup
- Principle:Sail sg LongSpec Evaluation Callback Pipeline
- Principle:ARISE Initiative Robosuite Input Device Abstraction
- Principle:Mlc ai Mlc llm Model Packaging Configuration
- Principle:Webdriverio Webdriverio Appium Service Lifecycle
- Principle:Spotify Luigi Dependency Chaining
- Principle:Mlc ai Web llm Embedding Input Formatting
- Principle:Langchain ai Langchain Pre Release Validation
Implementations
- Implementation:Explodinggradients Ragas RagasTracer Callbacks
- Implementation:Openai Openai python Eval List Params
- Implementation:CARLA simulator Carla World API Spec
- Implementation:Neuml Txtai IVFSparse ANN
- Implementation:Fede1024 Rust rdkafka FFI Type Aliases
- Implementation:Datajuicer Data juicer RemoveLongWordsMapper
- Implementation:Turboderp org Exllamav2 Ext Cache
- Implementation:Datajuicer Data juicer TextEntityDependencyFilter
- Implementation:Huggingface Transformers BenchmarkRunner Load Model
- Implementation:Haosulab ManiSkill SO100
Heuristics
- Heuristic:CrewAIInc CrewAI MCP Timeout And Retry Strategy
- Heuristic:Tencent Ncnn Lightmode Memory Optimization
- Heuristic:Gretelai Gretel synthetics Batch Size Divisibility Constraints
- Heuristic:Kubeflow Pipelines Component URL Commit SHA Pinning
- Heuristic:SqueezeAILab ETS Max Depth And Token Guards
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:Diagram of thought Diagram of thought Acyclicity Constraint Enforcement
- Heuristic:Sdv dev SDV Version Compatibility
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
Environments
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Treeverse LakeFS S3 Gateway Test Environment
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:Allenai Open instruct Beaker Cluster
- Environment:Vllm project Vllm Benchmarks
- Environment:Tencent Ncnn Build Environment
- Environment:Testtimescaling Testtimescaling github io GitHub Actions Runner