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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:Langchain ai Langchain Release Process
- Workflow:Confident ai Deepeval Component Level LLM Evaluation
- Workflow:Apache Spark Building and Testing
- Workflow:Iamhankai Forest of Thought Game24 Forest Solving
- Workflow:Ollama Ollama Model Pull And Run
- Workflow:Microsoft Agent framework Declarative Agent Definition
- Workflow:ChenghaoMou Text dedup MinHash LSH Deduplication
- Workflow:Mistralai Client python GCP Chat Completion
- Workflow:Infiniflow Ragflow Chat Application Setup
- Workflow:Microsoft Autogen Studio Team Deployment
Principles
- Principle:BerriAI Litellm Fine Tuned Model Usage
- Principle:Run llama Llama index Evaluator Configuration
- Principle:Sktime Pytorch forecasting NBeats Model Instantiation
- Principle:Roboflow Rf detr COCO Evaluation
- Principle:Obss Sahi Model Initialization
- Principle:Eventual Inc Daft Parquet Writing
- Principle:Microsoft Playwright Configure API Request Context
- Principle:Huggingface Optimum CLI Command Framework
- Principle:Liu00222 Open Prompt Injection Model Query Interface
- Principle:TA Lib Ta lib python Price Data Preparation
Implementations
- Implementation:TobikoData Sqlmesh LineageLayoutBase
- Implementation:InternLM Lmdeploy GemmUniversalSm90V5
- Implementation:Spotify Luigi Sphinx Doc Configuration
- Implementation:Ollama Ollama Convert Olmo
- Implementation:Deepspeedai DeepSpeed AutoModel For Inference
- Implementation:Openai Openai python Chat Completion Message Param
- Implementation:MarketSquare Robotframework browser PluginParser Parse Plugins
- Implementation:Apache Druid FlexibleQueryInput
- Implementation:Intel Ipex llm NPU Multimodal MiniCPM
- Implementation:Facebookresearch Audiocraft Hydra YAML Composition
Heuristics
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:Allenai Open instruct GPU Memory Utilization
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Microsoft Agent framework Typed Agent Options Pattern
- Heuristic:LaurentMazare Tch rs MPS Weight Loading Workaround
- Heuristic:Ucbepic Docetl Validation Retry Strategy
- Heuristic:Onnx Onnx Opset Version Selection
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:Infiniflow Ragflow Embedding Batch Size Constraint
- Heuristic:Promptfoo Promptfoo Adaptive Concurrency Tuning
Environments
- Environment:Farama Foundation Gymnasium MuJoCo Physics Backend
- Environment:Vllm project Vllm CUDA
- Environment:Volcengine Verl Megatron Core Environment
- Environment:Protectai Modelscan H5py Optional
- Environment:Alibaba ROLL Diffusion Video Environment
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Marker Inc Korea AutoRAG GPU PyTorch Environment
- Environment:SqueezeAILab ETS Evaluation Python Stack
- Environment:PrefectHQ Prefect AI Integration Credentials
- Environment:Vllm project Vllm AMD ROCm