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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:Google deepmind Dm control Control Suite RL Training
- Workflow:Openai Openai python Chat Completion
- Workflow:Apache Spark Building and Testing
- Workflow:Kubeflow Kubeflow AI Lifecycle Pipeline
- Workflow:PrefectHQ Prefect Dbt Model Orchestration
- Workflow:Apache Airflow Provider Distribution Development
- Workflow:Allenai Open instruct SFT Finetuning
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:Vllm project Vllm Offline Text Generation
- Workflow:Recommenders team Recommenders ALS Spark Recommendation
Principles
- Principle:Cohere ai Cohere python Tool Function Execution
- Principle:Allenai Open instruct Project Dependency Management
- Principle:Spotify Luigi Time Range Scheduling
- Principle:Testtimescaling Testtimescaling github io Citation Registration
- Principle:Sdv dev SDV Constraint Integration
- Principle:Tensorflow Serving HTTP Server Implementation
- Principle:Webdriverio Webdriverio Plugin Resolution
- Principle:SeldonIO Seldon core Model Artifact Preparation
- Principle:Google deepmind Mujoco Restrict Optimization
- Principle:Alibaba ROLL Reference Log Probability
Implementations
- Implementation:Tencent Ncnn Fasterrcnn Example
- Implementation:Volcengine Verl RewardManager Compute Reward
- Implementation:Google deepmind Dm control Suite Load
- Implementation:Open compass VLMEvalKit RBdashMMChat3Wrapper
- Implementation:FlowiseAI Flowise ConditionDialog
- Implementation:Ollama Ollama Imagegen GLM4 MoE Lite
- Implementation:CARLA simulator Carla RssSensor
- Implementation:Online ml River Cluster KMeans
- Implementation:DistrictDataLabs Yellowbrick Color Utilities
- Implementation:Spcl Graph of thoughts KeepBestN Operation
Heuristics
- Heuristic:OpenRLHF OpenRLHF Gradient Checkpointing Memory Tip
- Heuristic:Shiyu coder Kronos Learning Rate And Optimizer Tuning
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Nautechsystems Nautilus trader Inflight Order Check Threshold
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:Ollama Ollama Download Retry Strategy
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Facebookresearch Audiocraft Chroma Conditioning Cache Requirement
- Heuristic:Isaac sim IsaacGymEnvs DR Setup Only Flag
Environments
- Environment:Allenai Open instruct CUDA GPU Training
- Environment:Liu00222 Open Prompt Injection Python Dependencies
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:Duckdb Duckdb CMake Build Toolchain
- Environment:Microsoft Onnxruntime CUDA GPU Environment
- Environment:Spcl Graph of thoughts Local LLaMA GPU Inference
- Environment:Openai Evals OpenAI API Configuration
- Environment:Cleanlab Cleanlab Image Quality Dependencies
- Environment:Intel Ipex llm Windows Environment
- Environment:Openai Openai agents python MCP Dependencies