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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:Avhz RustQuant Analytic Option Pricing
- Workflow:Shiyu coder Kronos Single Series Prediction
- Workflow:CrewAIInc CrewAI Flow Based Orchestration
- Workflow:Bentoml BentoML Model Store Management
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Mistralai Client python OCR Document Processing
- Workflow:Openclaw Openclaw Agent Message Loop
- Workflow:Online ml River Online Clustering
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
Principles
- Principle:Huggingface Datasets Distributed Dataset Splitting
- Principle:Apache Hudi Table Schema Definition
- Principle:DistrictDataLabs Yellowbrick Precision Recall Analysis
- Principle:Mlc ai Web llm Grammar Constrained Decoding
- Principle:SeleniumHQ Selenium Grid Server Building
- Principle:Isaac sim IsaacGymEnvs Checkpoint Location
- Principle:AUTOMATIC1111 Stable diffusion webui Job Management
- Principle:Astronomer Astronomer cosmos Execution Configuration
- Principle:Online ml River Pipeline Transformers
- Principle:Mlflow Mlflow Prediction Endpoint
Implementations
- Implementation:Cohere ai Cohere python ChatConnector Model
- Implementation:Cleanlab Cleanlab Datalab Get Issues
- Implementation:Ucbepic Docetl ParetoFrontier Analysis
- Implementation:Ggml org Llama cpp Debug Example
- Implementation:Scikit learn Scikit learn Deprecation
- Implementation:Iterative Dvc Api Dataset
- Implementation:ArroyoSystems Arroyo Polling Http Connector
- Implementation:Online ml River Datasets Music
- Implementation:LaurentMazare Tch rs PyTorch Declarations Yaml
- Implementation:FlagOpen FlagEmbedding MiniCPM Reranker Layerwise
Heuristics
- Heuristic:Trailofbits Fickling Injection Mode Selection
- Heuristic:ArroyoSystems Arroyo Worker Heartbeat Timeout
- Heuristic:Microsoft Agent framework Tool Approval Mode Production
- Heuristic:ChenghaoMou Text dedup SimHash Optimization Ceiling
- Heuristic:Apache Beam Warning Deprecated Twister2 Runner
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Axolotl ai cloud Axolotl Attention Mechanism Selection
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:Neuml Txtai Batch Size Defaults
Environments
- Environment:NVIDIA DALI CMake Build Environment
- Environment:Alibaba ROLL ROCm GPU Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Isaac sim IsaacGymEnvs Pip Dependencies
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime
- Environment:Langchain ai Langgraph Docker Deployment Environment
- Environment:Apache Kafka Release Toolchain Environment
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Huggingface Diffusers Quantization Environment
- Environment:Ray project Ray Docker GPU Environment