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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:Dotnet Machinelearning Text Classification
- Workflow:Openai Openai node Chat Completion
- Workflow:Langgenius Dify Visual Workflow Builder
- Workflow:Mlflow Mlflow Experiment Tracking
- Workflow:ClickHouse ClickHouse Running Stateless Tests
- Workflow:Anthropics Anthropic sdk python Cloud Provider Deployment
- Workflow:Google deepmind Mujoco Simulation benchmarking
- Workflow:Danijar Dreamerv3 Single Process Training
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Apache Airflow DAG Authoring and Deployment
Principles
- Principle:Unslothai Unsloth MoE Expert Routing
- Principle:Huggingface Peft SFT Training
- Principle:Ucbepic Docetl Hierarchical Document Clustering
- Principle:TA Lib Ta lib python DataFrame Integration
- Principle:Predibase Lorax Stateless Conversation Management
- Principle:Trailofbits Fickling Pickle VM Tracing
- Principle:OpenHands OpenHands Distributed State Management
- Principle:SeleniumHQ Selenium Driver Binary Resolution
- Principle:HKUDS AI Trader Performance Visualization
- Principle:Farama Foundation Gymnasium Batched Environment Interaction
Implementations
- Implementation:Mit han lab Llm awq Wikitext eval loop
- Implementation:Puppeteer Puppeteer Cdp Input
- Implementation:Kornia Kornia Welsch Loss
- Implementation:Huggingface Diffusers Check Repo Quality
- Implementation:Elevenlabs Elevenlabs python WebhooksClient
- Implementation:Ggml org Llama cpp Llama Get Embeddings
- Implementation:Apache Paimon FactoryUtil
- Implementation:LMCache LMCache KV Layer Groups
- Implementation:TobikoData Sqlmesh Context Invalidate Environment
- Implementation:Avhz RustQuant CurveModel Trait
Heuristics
- Heuristic:Volcengine Verl GPU Memory Utilization Tuning
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:Ucbepic Docetl Validation Retry Strategy
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Ray project Ray Autoscaling Delay Tuning
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Openai Openai node Warning Deprecated Beta Realtime
- Heuristic:Cleanlab Cleanlab Multiprocessing Platform Strategy
Environments
- Environment:Cohere ai Cohere python AWS Integration Dependencies
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Astronomer Astronomer cosmos Python Airflow Runtime
- Environment:Sgl project Sglang Runtime
- Environment:Langgenius Dify Docker Deployment Environment
- Environment:Google deepmind Mujoco Python Bindings Environment
- Environment:Sgl project Sglang CUDA SM100
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:HKUDS AI Trader MCP Services
- Environment:Marker Inc Korea AutoRAG GPU PyTorch Environment