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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:Onnx Onnx Model Validation
- Workflow:Mlfoundations Open flamingo Model Creation And Inference
- Workflow:ARISE Initiative Robosuite Domain Randomization Training
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Triton inference server Server Model Performance Tuning
- Workflow:Huggingface Trl GRPO Training
- Workflow:Apache Airflow DAG Authoring and Deployment
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Mlflow Mlflow Prompt Management
Principles
- Principle:Ggml org Llama cpp Android Inference
- Principle:FlagOpen FlagEmbedding Dense Retrieval
- Principle:CarperAI Trlx Reward Function Design
- Principle:Mlflow Mlflow Protobuf Code Generation
- Principle:Microsoft Playwright Select Browser and Configure Context
- Principle:OpenRLHF OpenRLHF Interactive Model Inference
- Principle:Mbzuai oryx Awesome LLM Post training Category Taxonomy Definition
- Principle:Pyro ppl Pyro Markov Dependency
- Principle:Openai CLIP Image Feature Encoding
- Principle:Langgenius Dify Document Processing Configuration
Implementations
- Implementation:Webdriverio Webdriverio Selector Testing
- Implementation:Datahub project Datahub Docusaurus Config
- Implementation:Google deepmind Dm control Fruitfly V2
- Implementation:Mlc ai Mlc llm Fuse Dequantize Transpose
- Implementation:MarketSquare Robotframework browser Bootstrap Script
- Implementation:Google deepmind Dm control Suite Wrappers
- Implementation:Infiniflow Ragflow DatasetActionCell Component
- Implementation:Hiyouga LLaMA Factory Feedback Processor
- Implementation:Teamcapybara Capybara Spec Shared Selenium Session
- Implementation:Apache Spark Release Build Publish
Heuristics
- Heuristic:Google deepmind Mujoco MJX Benchmarking Tips
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Mlc ai Web llm Grammar Matcher Reuse
- Heuristic:Alibaba MNN GPU Tuning Modes
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Apache Spark Partition Sizing Tips
- Heuristic:Norrrrrrr lyn WAInjectBench Union Ensemble Maximize Recall
- Heuristic:NVIDIA NeMo Aligner Adam State Offloading Tip
Environments
- Environment:Astronomer Astronomer cosmos Cosmos Airflow Configuration
- Environment:Turboderp org Exllamav2 CUDA GPU Runtime
- Environment:Treeverse LakeFS LakeFS Server Environment
- Environment:Deepspeedai DeepSpeed NVMe Environment
- Environment:Neuml Txtai GPU Accelerator Detection
- Environment:Openai Openai node OpenAI API Credentials
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Scikit learn contrib Imbalanced learn Python Scikit learn
- Environment:Apache Spark Kubernetes Runtime
- Environment:Mlc ai Mlc llm Python Serving Environment