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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 |
Explore Pages
Workflows
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Haotian liu LLaVA Two Stage Pretraining and Finetuning
- Workflow:Anthropics Anthropic sdk python Basic Message Conversation
- Workflow:Google research Deduplicate text datasets Suffix array querying
- Workflow:Roboflow Rf detr ONNX Export
- Workflow:Lance format Lance Dataset Lifecycle
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:CARLA simulator Carla Traffic Generation
- Workflow:Confident ai Deepeval LLM Tracing and Observability
Principles
- Principle:HKUDS AI Trader Frontend Cache Management
- Principle:Princeton nlp Tree of thought llm LLM API Wrapping
- Principle:SeleniumHQ Selenium Code Formatting Pipeline
- Principle:Microsoft Onnxruntime Model Conversion to ONNX
- Principle:ArroyoSystems Arroyo API Architecture
- Principle:Mlflow Mlflow Evaluation Dataset Preparation
- Principle:Cypress io Cypress Component Mounting
- Principle:Facebookresearch Habitat lab Component Class Definition
- Principle:Google deepmind Mujoco Resource Cleanup
- Principle:Haosulab ManiSkill Multi Agent Pattern
Implementations
- Implementation:Protectai Llm guard Output FactualConsistency
- Implementation:Apache Druid InputFormatStep
- Implementation:Pyro ppl Pyro LiftMessenger
- Implementation:Sgl project Sglang SM100 MLA Tile Scheduler
- Implementation:Apache Airflow SecretsMasker
- Implementation:LaurentMazare Tch rs ModuleT Forward T
- Implementation:SeleniumHQ Selenium ByIdOrName
- Implementation:Cleanlab Cleanlab TC Find Label Issues
- Implementation:Huggingface Open r1 Generate Completion
- Implementation:Apache Dolphinscheduler IWorkflowControlClient Trigger
Heuristics
- Heuristic:BerriAI Litellm SSL Cipher Optimization
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:FlagOpen FlagEmbedding Temperature Scaling Tip
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:Explodinggradients Ragas Concurrency And Rate Limiting
- Heuristic:Zai org CogVideo BF16 FP16 Precision Selection
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Norrrrrrr lyn WAInjectBench Zero Vector Fallback Failed Embeddings
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
Environments
- Environment:ClickHouse ClickHouse OpenSSL Runtime
- Environment:Intel Ipex llm NPU Environment
- Environment:Hpcaitech ColossalAI GRPO Distributed Environment
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Lakeraai Pint benchmark Python 310 With Transformers
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Sktime Pytorch forecasting Matplotlib Plotting Dependencies