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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:Deepspeedai DeepSpeed ZeRO Distributed Training
- Workflow:Unstructured IO Unstructured Chunking And Embedding
- Workflow:Microsoft BIPIA Black Box Defense Evaluation
- Workflow:Liu00222 Open Prompt Injection Detection Localization Defense
- Workflow:Openai Evals Implementing a custom completion function
- Workflow:Anthropics Anthropic sdk python Extended Thinking Reasoning
- Workflow:Danijar Dreamerv3 Train And Evaluate
- Workflow:Nightwatchjs Nightwatch E2E Test Authoring
- Workflow:Langchain ai Langgraph Functional API Workflow
- Workflow:Pyro ppl Pyro Discrete Enumeration
Principles
- Principle:Tensorflow Serving Version Label Routing
- Principle:Microsoft Autogen Hierarchical Agent Composition
- Principle:PrefectHQ Prefect Deployment Configuration Validation
- Principle:Fede1024 Rust rdkafka Concurrent Worker Scaling
- Principle:Elevenlabs Elevenlabs python Conversational Session
- Principle:FlowiseAI Flowise Server Monitoring
- Principle:Datahub project Datahub Docker Prerequisites Validation
- Principle:Ggml org Llama cpp Sampling
- Principle:Langchain ai Langgraph Async Checkpoint Persistence
- Principle:Puppeteer Puppeteer Request Interception
Implementations
- Implementation:Neuml Txtai Cluster
- Implementation:MarketSquare Robotframework browser Rfbrowser Install
- Implementation:Gretelai Gretel synthetics ACTGAN Fit
- Implementation:Farama Foundation Gymnasium Stateful Observation Wrappers
- Implementation:Getgauge Taiko CloseBrowser
- Implementation:Apache Shardingsphere StatisticsManager Manage
- Implementation:Datajuicer Data juicer Quality Classifier Eval
- Implementation:LLMBook zh LLMBook zh github io DPOTrainer Train
- Implementation:Haotian liu LLaVA Train With LoRA
- Implementation:Openai Openai python Skill List Model
Heuristics
- Heuristic:Mlc ai Web llm Penalty Parameter Defaults
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:Predibase Lorax Quantization Backend Selection
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:ARISE Initiative Robomimic HDF5 Cache Mode Selection
- Heuristic:SeleniumHQ Selenium Warning Deprecated Proxy FTP Methods
- Heuristic:Deepseek ai Janus Bfloat16 Dtype Selection
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
- Heuristic:LMCache LMCache Prefix Based Retrieval Pattern
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
Environments
- Environment:Openai Openai python Azure OpenAI
- Environment:Allenai Open instruct Beaker Cluster
- Environment:OpenBMB UltraFeedback Python GPU Environment
- Environment:Sgl project Sglang CUDA GPU Runtime
- Environment:Groq Groq python Python Groq SDK
- Environment:Evidentlyai Evidently SQL Storage Environment
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Ollama Ollama Go Runtime