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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:Lm sys FastChat ShareGPT Data Pipeline
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Intel Ipex llm DPO Finetuning
- Workflow:Togethercomputer Together python Fine Tuning
- Workflow:Eventual Inc Daft SQL Query Analytics
- Workflow:LaurentMazare Tch rs JIT Model Inference
- Workflow:Microsoft Playwright Network mocking and interception
- Workflow:Interpretml Interpret Model Explanation And Visualization
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Translation
- Workflow:Ucbepic Docetl YAML Pipeline Execution
Principles
- Principle:OpenGVLab InternVL Multimodal Training Sampling
- Principle:Ggml org Llama cpp Encoding Utilities
- Principle:Datahub project Datahub Docker Quickstart Launch
- Principle:Online ml River Iterative Progressive Validation
- Principle:PrefectHQ Prefect Structured AI Output
- Principle:AUTOMATIC1111 Stable diffusion webui Extra Networks
- Principle:Intel Ipex llm RAG Chain Assembly
- Principle:Predibase Lorax Adapter Merge Strategies
- Principle:Mage ai Mage ai Batch Export
- Principle:SeldonIO Seldon core Pipeline Deployment Execution
Implementations
- Implementation:Openai Evals Solver Base Class
- Implementation:Cohere ai Cohere python EmbedResponse Model
- Implementation:Apache Paimon TimeUtils
- Implementation:Bentoml BentoML GRPC Utils
- Implementation:Open compass VLMEvalKit GLM4v
- Implementation:Mlc ai Mlc llm Compiler Flags
- Implementation:Ollama Ollama Llama Model Apertus
- Implementation:Openai Openai python Moderation Create Params
- Implementation:Haosulab ManiSkill UR10e
- Implementation:LMCache LMCache LMCacheControllerManager Init
Heuristics
- Heuristic:Openai Openai node RunTools Loop Limit
- Heuristic:Alibaba ROLL KL Coefficient Tuning
- Heuristic:Apache Beam GC Thrashing Detection
- Heuristic:Datahub project Datahub Git Worktree Gradle Fix
- Heuristic:Speechbrain Speechbrain Nonfinite Loss Handling
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Mlfoundations Open flamingo Loss Masking Strategy
- Heuristic:ARISE Initiative Robosuite Domain Randomization Tuning
- Heuristic:Cypress io Cypress Browser Version Workarounds
Environments
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Unstructured IO Unstructured Libmagic
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Apache Spark Release Build Environment
- Environment:LaurentMazare Tch rs Python Interop Environment
- Environment:Nautechsystems Nautilus trader Asyncio Uvloop Event Loop