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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:Microsoft Semantic kernel Agent Conversation And Orchestration
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Scikit learn Scikit learn Hyperparameter Tuning
- Workflow:Dagster io Dagster ETL Pipeline
- Workflow:Confident ai Deepeval AI Agent Evaluation
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:Vllm project Vllm Vision Language Inference
- Workflow:LaurentMazare Tch rs JIT Model Inference
Principles
- Principle:Apache Spark Release Finalization
- Principle:Farama Foundation Gymnasium Vector Rendering
- Principle:Ggml org Llama cpp Encoding Utilities
- Principle:Mit han lab Llm awq Quantized Weight Loading
- Principle:Treeverse LakeFS Tag Creation
- Principle:Alibaba MNN LLM Model Export
- Principle:AUTOMATIC1111 Stable diffusion webui Options Architecture
- Principle:Zai org CogVideo Flow Refinement
- Principle:Axolotl ai cloud Axolotl Continuous Integration Testing
- Principle:Langfuse Langfuse OTel Endpoint Reception
Implementations
- Implementation:Ucbepic Docetl ResizableDataTable
- Implementation:LMCache LMCache Controller Utils
- Implementation:Hiyouga LLaMA Factory V1 Accelerator Interface
- Implementation:BerriAI Litellm MCP Types
- Implementation:Langfuse Langfuse EvalJobExecutorQueueProcessor
- Implementation:Treeverse LakeFS Java SDK Model UploadPart
- Implementation:Tensorflow Tfjs MathBackendCPU
- Implementation:Astronomer Astronomer cosmos CI Test Workflow
- Implementation:Arize ai Phoenix Legacy AnthropicModel
- Implementation:Google deepmind Mujoco Thread Pool Header
Heuristics
- Heuristic:Lance format Lance Warning Deprecated Java APIs
- Heuristic:Fastai Fastbook Batch Size Selection
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:Volcengine Verl Layered Summon Memory Tradeoff
- Heuristic:TA Lib Ta lib python STOCHRSI Vs STOCH RSI
- Heuristic:Intel Ipex llm CCL Distributed Training Tips
- Heuristic:Iterative Dvc Shell Execution Pitfalls
- Heuristic:Cypress io Cypress Browser Version Workarounds
- Heuristic:Langgenius Dify Workflow Draft Hash Sync
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
Environments
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Kubeflow Pipelines Python SDK
- Environment:Elevenlabs Elevenlabs python FFmpeg Mpv
- Environment:Heibaiying BigData Notes HBase Environment
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Apache Druid Integration Test Docker
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime
- Environment:Lance format Lance Rust Toolchain