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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:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Lm sys FastChat LoRA QLoRA Finetuning
- Workflow:Langchain ai Langgraph Building a Stateful Graph
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:Ggml org Llama cpp Text Generation
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:Lakeraai Pint benchmark Custom Dataset Benchmarking
- Workflow:Speechbrain Speechbrain Speech Enhancement Training
Principles
- Principle:Sktime Pytorch forecasting Dependency Diagnostics
- Principle:LMCache LMCache Disaggregated Prefill Prerequisites
- Principle:Apache Beam Result Collection
- Principle:Webdriverio Webdriverio Documentation Infrastructure
- Principle:Snorkel team Snorkel Generative Label Model Training
- Principle:Deepspeedai DeepSpeed Checkpoint Management
- Principle:CrewAIInc CrewAI Task Replay
- Principle:FlowiseAI Flowise Dependency Management
- Principle:Huggingface Datasets Image Feature Handling
- Principle:Mlc ai Mlc llm Model Library Packaging
Implementations
- Implementation:CARLA simulator Carla Extract Spawn Points Tool
- Implementation:Google deepmind Mujoco USD JointAPI
- Implementation:FlagOpen FlagEmbedding FlagAutoReranker From Finetuned
- Implementation:Openai Openai node ChatCompletionParser
- Implementation:Online ml River Multiclass OneVsOne
- Implementation:Apache Druid ModulePane
- Implementation:Open compass VLMEvalKit SArena FID
- Implementation:Teamcapybara Capybara Queries TextQuery
- Implementation:Pyro ppl Pyro PyroLRScheduler
- Implementation:CARLA simulator Carla OpendriveGenerationParameters
Heuristics
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Spotify Luigi Dynamic Requirements Generator
- Heuristic:Sktime Pytorch forecasting Early Stopping Patience
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:Arize ai Phoenix Environment Variable Precedence
- Heuristic:Cypress io Cypress Timeout Tuning
- Heuristic:LaurentMazare Tch rs MPS Weight Loading Workaround
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:Romsto Speculative Decoding Filler Top K Tuning
Environments
- Environment:Kserve Kserve Python Runtime
- Environment:BerriAI Litellm Python Runtime
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Mlflow Mlflow OpenAI LLM Integration Environment
- Environment:Openai Openai python Realtime WebSocket
- Environment:Cohere ai Cohere python Python SDK Runtime
- Environment:PeterL1n BackgroundMattingV2 PyTorch CUDA
- Environment:Huggingface Datasets Lance Dependencies
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Eventual Inc Daft Python PyArrow Core