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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 |
Explore Pages
Workflows
- Workflow:Anthropics Anthropic sdk python Structured Output Extraction
- Workflow:Kserve Kserve Deploying InferenceService
- Workflow:Puppeteer Puppeteer Page Screenshot Capture
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Facebookresearch Habitat lab Custom Task Extension
- Workflow:NVIDIA NeMo Curator Semantic Deduplication
- Workflow:Onnx Onnx Model Composition
- Workflow:Huggingface Alignment handbook SFT DPO Alignment Pipeline
- Workflow:Mlc ai Mlc llm Mobile Deployment
- Workflow:Mistralai Client python Finetuning Job Management
Principles
- Principle:Astronomer Astronomer cosmos TaskGroup Rendering
- Principle:Zai org CogVideo Autoencoder Architecture
- Principle:Recommenders team Recommenders Stratified Data Splitting
- Principle:Farama Foundation Gymnasium Action Transformation
- Principle:ThreeSR Awesome Inference Time Scaling Maintainer Review
- Principle:Triton inference server Server QA Trace Analysis
- Principle:Ggml org Llama cpp LoRA Model Merging
- Principle:Openclaw Openclaw CLI Bootstrap
- Principle:Romsto Speculative Decoding Speculative Decoding
- Principle:Pytorch Serve Text Classification
Implementations
- Implementation:Pola rs Polars Expr Over Window
- Implementation:Openai Openai python Realtime Connect
- Implementation:Puppeteer Puppeteer PipeTransport
- Implementation:Ollama Ollama Mtmd LLaVA
- Implementation:Iamhankai Forest of Thought CoT Task Run
- Implementation:Google deepmind Dm control Maze Covering
- Implementation:Online ml River Datasets Phishing
- Implementation:InternLM Lmdeploy Gemm Utils
- Implementation:ARISE Initiative Robosuite DataCollectionWrapper
- Implementation:Scikit learn Scikit learn OPTICS
Heuristics
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Apache Airflow Task Dependency Isolation
- Heuristic:HKUDS AI Trader Linear Retry Backoff
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:ContextualAI HALOs Reference Logprob Caching
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:Marker Inc Korea AutoRAG Data Format Requirements
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Tencent Ncnn Letterbox Vs Direct Resize
Environments
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Predibase Lorax Model Source Credentials
- Environment:Openai Openai python Azure OpenAI
- Environment:Alibaba MNN GPU OpenCL Environment
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:Predibase Lorax Python Server Dependencies
- Environment:FMInference FlexLLMGen NVMe Disk
- Environment:Intel Ipex llm Portable Environment
- Environment:ThreeSR Awesome Inference Time Scaling Python Runtime Environment
- Environment:Onnx Onnx Python Runtime Environment