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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:OpenRLHF OpenRLHF Knowledge Distillation
- Workflow:Haosulab ManiSkill Motion Planning Demo Generation
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Groq Groq python Audio Transcription
- Workflow:CarperAI Trlx RLHF Dialogue Alignment
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Googleapis Python genai Model Fine Tuning
- Workflow:Vllm project Vllm Multi LoRA Serving
- Workflow:Openai Evals Running a single eval
- Workflow:Iterative Dvc Experiment Tracking
Principles
- Principle:Huggingface Datatrove Core Data Structures
- Principle:LaurentMazare Tch rs Tensor Indexing Operations
- Principle:Allenai Open instruct Distributed Data Loading
- Principle:Fastai Fastbook Tokenization
- Principle:Lucidrains X transformers DPO Wrapper Setup
- Principle:ChenghaoMou Text dedup Union Find
- Principle:Shiyu coder Kronos CSV Dataset Handling
- Principle:EvolvingLMMs Lab Lmms eval Request Construction
- Principle:Ollama Ollama LLM Inference Pipeline
- Principle:Recommenders team Recommenders NCF Prediction
Implementations
- Implementation:Vibrantlabsai Ragas BasePrompt
- Implementation:Guardrails ai Guardrails Guard For Pydantic
- Implementation:Run llama Llama index Eval Utils
- Implementation:PacktPublishing LLM Engineers Handbook Save Pretrained Merged
- Implementation:Microsoft LoRA Check Tokenizers
- Implementation:Avhz RustQuant Gamma Distribution
- Implementation:Pytorch Serve Index To Name Mapping
- Implementation:Puppeteer Puppeteer Cdp Page
- Implementation:SeleniumHQ Selenium Civetweb API
- Implementation:ARISE Initiative Robosuite TwoArmTransport Environment
Heuristics
- Heuristic:Google deepmind Dm control Rendering Backend Selection Tips
- Heuristic:Datahub project Datahub Batch Size And Timeout Tuning
- Heuristic:Puppeteer Puppeteer Headless Linux Requirements
- Heuristic:Elevenlabs Elevenlabs python TTS Model Selection
- Heuristic:Cohere ai Cohere python Pydantic V1 V2 Compatibility
- Heuristic:Pytorch Serve Batch Size Tuning
- Heuristic:Fede1024 Rust rdkafka Queue Buffering Priority
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:OpenHands OpenHands Clustered Race Condition Prevention
- Heuristic:Protectai Modelscan Nested Zip Not Supported
Environments
- Environment:Deepset ai Haystack HuggingFace Model Environment
- Environment:Datahub project Datahub Java 17 Backend Environment
- Environment:Mbzuai oryx Awesome LLM Post training Python Pandas
- Environment:Facebookresearch Habitat lab Python 3 9 Core Dependencies
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Protectai Modelscan H5py Optional
- Environment:Truera Trulens Python Core Environment
- Environment:Obss Sahi Python Pycocotools
- Environment:Openai Openai node Node 20 Runtime
- Environment:Kubeflow Pipelines KFP Backend Deployment