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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:Huggingface Optimum FX Graph Optimization
- Workflow:Microsoft Playwright Browser automation CLI
- Workflow:Huggingface Trl Direct Preference Optimization
- Workflow:LMCache LMCache P2P KV Cache Sharing
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:Lucidrains X transformers Non Autoregressive Masked Generation
- Workflow:Deepspeedai DeepSpeed ZeRO Distributed Training
- Workflow:Interpretml Interpret Model Explanation And Visualization
- Workflow:Huggingface Diffusers ControlNet Guided Generation
- Workflow:Mlfoundations Open flamingo Distributed Training
Principles
- Principle:Huggingface Datatrove Random Sampling
- Principle:Langgenius Dify Single Node Testing
- Principle:Langchain ai Langchain Retriever Integration
- Principle:Ollama Ollama Compute Graph System
- Principle:Pytorch Serve Model Explainability
- Principle:SeldonIO Seldon core HuggingFace Text Inference
- Principle:Helicone Helicone App Provider Composition
- Principle:Anthropics Anthropic sdk python Client Initialization
- Principle:Lm sys FastChat Model Weight Delta Distribution
- Principle:Deepset ai Haystack Extractive Question Answering
Implementations
- Implementation:CrewAIInc CrewAI RAG CSV Loader
- Implementation:Infiniflow Ragflow DataflowResult Page
- Implementation:Microsoft DeepSpeedExamples Load Model SuperOffload
- Implementation:Ollama Ollama Convert NomicBert
- Implementation:Roboflow Rf detr RFDETR Train Config
- Implementation:DevExpress Testcafe TestController Actions
- Implementation:CrewAIInc CrewAI Docs Navigation Config
- Implementation:Huggingface Datatrove Document
- Implementation:Facebookresearch Habitat lab Benchmark evaluate
- Implementation:Ggml org Llama cpp Convert LoRA To GGUF
Heuristics
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:Cohere ai Cohere python HTTP Retry Backoff Strategy
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Duckdb Duckdb Sanitizer Configuration
- Heuristic:Fede1024 Rust rdkafka Queue Buffering Priority
- Heuristic:Obss Sahi Auto Slice Resolution
- Heuristic:Apache Druid Cluster Health Diagnostic Thresholds
- Heuristic:Huggingface Peft Warning Deprecated Bone
- Heuristic:Tencent Ncnn Thread Count Tuning
Environments
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Unstructured IO Unstructured GitHub Actions
- Environment:TobikoData Sqlmesh Python Runtime
- Environment:Anthropics Anthropic sdk python Python SDK Core Environment
- Environment:Duckdb Duckdb Code Generation Tools
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Ggml org Ggml Metal GPU Environment
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:Open compass VLMEvalKit GPU CUDA Environment