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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:Fede1024 Rust rdkafka Produce Consume Roundtrip
- Workflow:Neuml Txtai Workflow Orchestration
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
- Workflow:LLMBook zh LLMBook zh github io Supervised Finetuning
- Workflow:Apache Airflow Provider Distribution Development
- Workflow:Mit han lab Llm awq HuggingFace Model Export
- Workflow:Openai Openai agents python Multi Agent Handoff
- Workflow:SeldonIO Seldon core Inference Pipeline
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
Principles
- Principle:Pytorch Serve Parallelism Strategy
- Principle:Langfuse Langfuse LLM Execution for Experiments
- Principle:Sktime Pytorch forecasting Model Training
- Principle:TA Lib Ta lib python Stream Event Integration
- Principle:Microsoft Semantic kernel AI Service Registration
- Principle:Romsto Speculative Decoding KV Cache Pruning
- Principle:Kubeflow Kubeflow Documentation Update
- Principle:Webdriverio Webdriverio Singleton Pattern
- Principle:Apache Druid Spec Management Troubleshooting
- Principle:Neuml Txtai Agent Embeddings Database
Implementations
- Implementation:Huggingface Diffusers ControlNetModel Forward
- Implementation:Mlc ai Mlc llm Gemma2 Model
- Implementation:Ollama Ollama XModels GLM4 Parser
- Implementation:Langgenius Dify AppModeEnum
- Implementation:Ggml org Ggml Rpc backend api
- Implementation:ARISE Initiative Robosuite XmlObjects
- Implementation:Pytorch Serve Diffusion Fast Handler
- Implementation:Puppeteer Puppeteer SecurityDetails
- Implementation:Apache Flink HadoopReducerWrappedFunction
- Implementation:Huggingface Optimum Save Utils
Heuristics
- Heuristic:Openclaw Openclaw WebSocket Reconnection And Session Cleanup
- Heuristic:Apache Kafka Container JMX RMI Port Tip
- Heuristic:Facebookresearch Audiocraft Chroma Conditioning Cache Requirement
- Heuristic:Hiyouga LLaMA Factory LoRA DDP Configuration
- Heuristic:Groq Groq python Retry Backoff Strategy
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:Apache Beam Executor Shutdown Ordering
- Heuristic:Duckdb Duckdb PR Submission Strategy
Environments
- Environment:Nightwatchjs Nightwatch Selenium WebDriver 4
- Environment:OpenHands OpenHands Frontend Build Environment
- Environment:Sgl project Sglang GitHub Actions
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Evidentlyai Evidently Spark Engine Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib