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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:Openai CLIP Zero shot image classification
- Workflow:LaurentMazare Tch rs MNIST Training
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Ollama Ollama Custom Model Creation
- Workflow:Microsoft DeepSpeedExamples RLHF Training Pipeline
- Workflow:Ggml org Ggml Vision Model Inference
- Workflow:Volcengine Verl GRPO Training Pipeline
- Workflow:Confident ai Deepeval AI Agent Evaluation
- Workflow:Facebookresearch Habitat lab Agent Benchmarking
Principles
- Principle:Cleanlab Cleanlab Segmentation Label Quality Scoring
- Principle:Ggml org Llama cpp Server Build
- Principle:Risingwavelabs Risingwave Composable Development Environment
- Principle:Confident ai Deepeval Span Level Test Cases
- Principle:Googleapis Python genai Job Monitoring
- Principle:FMInference FlexLLMGen Optimized Inference Engine
- Principle:Allenai Open instruct SFT Data Processing
- Principle:SeleniumHQ Selenium Session Termination
- Principle:Microsoft BIPIA Defended Model Evaluation
- Principle:Mistralai Client python Tool Schema Definition
Implementations
- Implementation:Neuml Txtai HTMLToMarkdown
- Implementation:Scikit learn Scikit learn SphinxConf
- Implementation:Google deepmind Dm control Render Executor
- Implementation:Lance format Lance BackgroundIterator
- Implementation:Microsoft Onnxruntime OrtProvider
- Implementation:Dotnet Machinelearning FastTree SurplusMART Derivatives
- Implementation:Pytorch Serve Torchserve Grpc Client
- Implementation:Google deepmind Dm control Build Front Legs
- Implementation:ARISE Initiative Robosuite PickPlace Environment
- Implementation:Cohere ai Cohere python DatasetsClient Create
Heuristics
- Heuristic:Predibase Lorax Warning Deprecated BitsAndBytes 8bit
- Heuristic:HKUDS AI Trader Position File Locking
- Heuristic:NVIDIA NeMo Aligner Warning Deprecated Repository
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:FlowiseAI Flowise Heap Memory Configuration
- Heuristic:FlowiseAI Flowise Tool Ordering Convention
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
Environments
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Openai Openai node WebSocket Dependency
- Environment:Mistralai Client python Realtime Transcription Environment
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:Microsoft Playwright Platform Support Environment
- Environment:PacktPublishing LLM Engineers Handbook API Credentials
- Environment:Ollama Ollama CGo Runtime
- Environment:Openai Openai python Python 3 9 Plus
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime