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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:Microsoft Semantic kernel Plugin Integration And Function Calling
- Workflow:Google deepmind Dm control Manipulation Task Setup
- Workflow:Microsoft Onnxruntime ORTModule Training
- Workflow:CarperAI Trlx RLHF Summarization Pipeline
- Workflow:FlowiseAI Flowise Chatbot Deployment
- Workflow:Google research Deduplicate text datasets Suffix array querying
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:Astronomer Astronomer cosmos Kubernetes dbt execution
- Workflow:SeldonIO Seldon core AB Testing Experiment
Principles
- Principle:Cohere ai Cohere python AWS SigV4 Authentication
- Principle:Mlc ai Mlc llm Weight Conversion and Quantization
- Principle:Neuml Txtai Training Configuration
- Principle:ARISE Initiative Robomimic Training Loop Execution
- Principle:Ggml org Llama cpp Context Extension
- Principle:Microsoft Semantic kernel Conversation Thread Management
- Principle:Tensorflow Serving Session Bundle Migration
- Principle:Ollama Ollama GGUF Model Conversion GlmOcr
- Principle:Turboderp org Exllamav2 Multimodal Prompt Encoding
- Principle:Bentoml BentoML Model Versioning
Implementations
- Implementation:Sgl project Sglang CPU Extend Attention
- Implementation:SeldonIO Seldon core Seldon Model CRD Explainer
- Implementation:Tensorflow Tfjs GPT2CausalLM Constructor
- Implementation:CrewAIInc CrewAI Create Crew CLI
- Implementation:Speechbrain Speechbrain Separation Save Results
- Implementation:Explodinggradients Ragas Validation Module
- Implementation:Arize ai Phoenix OpenAPI Spec Canonical
- Implementation:Ollama Ollama Imagegen Flux2 RoPE
- Implementation:Datajuicer Data juicer InContextInfluenceFilter
- Implementation:Puppeteer Puppeteer EventEmitter
Heuristics
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Lakeraai Pint benchmark Chunking Stride 25 Percent Overlap
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Confident ai Deepeval Secret Management Best Practices
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
- Heuristic:PeterL1n BackgroundMattingV2 Data Augmentation Strategy
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Huggingface Datasets Warning Deprecated Pandas Builder
Environments
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Requests
- Environment:Hiyouga LLaMA Factory Quantization Dependencies
- Environment:DataExpert io Data engineer handbook PostgreSQL Docker Environment
- Environment:Openai Whisper FFmpeg
- Environment:Googleapis Python genai Python 3 10 SDK Runtime
- Environment:Vllm project Vllm CUDA
- Environment:TobikoData Sqlmesh Web UI Stack
- Environment:Farama Foundation Gymnasium Python 3 10 Runtime