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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:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:Hiyouga LLaMA Factory Full Parameter SFT
- Workflow:Apache Airflow Core Release Process
- Workflow:Mage ai Mage ai SQL Database Source Extraction
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:Speechbrain Speechbrain Speaker Embedding Training
- Workflow:OpenHands OpenHands SaaS Server Assembly
- Workflow:Bentoml BentoML Model Store Management
- Workflow:Eric mitchell Direct preference optimization Custom Dataset Integration
- Workflow:Microsoft LoRA LoRA Integration
Principles
- Principle:Nightwatchjs Nightwatch Component Test Authoring
- Principle:DataExpert io Data engineer handbook Test Data Construction
- Principle:Cypress io Cypress CI Environment Configuration
- Principle:Openclaw Openclaw LLM Inference
- Principle:Google deepmind Mujoco Control Noise Generation
- Principle:Langchain ai Langgraph Pregel Execution Algorithm
- Principle:Triton inference server Server SageMaker Integration
- Principle:Apache Spark K8s Prerequisites Verification
- Principle:Teamcapybara Capybara Element Assertion
- Principle:Evidentlyai Evidently Grafana Visualization
Implementations
- Implementation:Infiniflow Ragflow Misc Utils
- Implementation:Ray project Ray BaseId
- Implementation:Openai Evals AnthropicSolver
- Implementation:Treeverse LakeFS Java SDK Model StorageConfig
- Implementation:Fede1024 Rust rdkafka Producer Transaction Methods
- Implementation:ARISE Initiative Robosuite NutAssembly Environment
- Implementation:Tensorflow Tfjs CPU ResizeBilinear Kernel
- Implementation:Speechbrain Speechbrain Prepare ESC50 Root
- Implementation:Huggingface Optimum ParallelLayerAnnotatePass Run
- Implementation:Explodinggradients Ragas Swarm Convert Messages
Heuristics
- Heuristic:Mit han lab Llm awq Kernel Selection Thresholds
- Heuristic:SqueezeAILab ETS Embedding Model GPU Collocation
- Heuristic:Facebookresearch Audiocraft Generation Parameter Defaults
- Heuristic:Unstructured IO Unstructured Warning Deprecated Staging Base
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Lance format Lance Fragment Sizing Strategy
- Heuristic:OpenHands OpenHands Redis Distributed Locking
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Romsto Speculative Decoding Gamma Tuning
- Heuristic:Speechbrain Speechbrain Score Normalization Tips
Environments
- Environment:Openclaw Openclaw Mintlify Documentation Platform
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:OpenBMB UltraFeedback HuggingFace Hub Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:LaurentMazare Tch rs Libtorch Build Environment
- Environment:Openclaw Openclaw Node 22 Runtime
- Environment:Online ml River Build Toolchain