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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:LLMBook zh LLMBook zh github io DPO Alignment
- Workflow:Langchain ai Langgraph CLI Deployment
- Workflow:Infiniflow Ragflow Search Application Setup
- Workflow:Unstructured IO Unstructured Connector Ingest Pipeline
- Workflow:Datajuicer Data juicer Distributed Ray Processing
- Workflow:Evidentlyai Evidently Text Data Quality Evaluation
- Workflow:Togethercomputer Together python Chat Completion
- Workflow:Mistralai Client python Function Calling
- Workflow:Google deepmind Mujoco Offscreen video recording
- Workflow:Confident ai Deepeval End to End LLM Evaluation
Principles
- Principle:Nightwatchjs Nightwatch Extension Usage In Tests
- Principle:SeldonIO Seldon core Multi Modal Pipeline Composition
- Principle:Datajuicer Data juicer Statistics Key Definition
- Principle:Langfuse Langfuse OTel Endpoint Reception
- Principle:DataTalksClub Data engineering zoomcamp Dbt Intermediate Layer
- Principle:Cohere ai Cohere python Tool Function Execution
- Principle:Ucbepic Docetl Output Management
- Principle:Langgenius Dify Retrieval Testing
- Principle:Eventual Inc Daft Type Casting
- Principle:Deepspeedai DeepSpeed RLHF Checkpointing
Implementations
- Implementation:CarperAI Trlx Random Walk Environment
- Implementation:Apache Shardingsphere EtcdDistributedLock Lock
- Implementation:Hpcaitech ColossalAI ChineseTextSplitter
- Implementation:Mlc ai Mlc llm CLIP Vision
- Implementation:CARLA simulator Carla Map API Spec
- Implementation:MaterializeInc Materialize CLI Run
- Implementation:PacktPublishing LLM Engineers Handbook Create Train Test Split
- Implementation:Lance format Lance Java IndexOptions
- Implementation:Online ml River Datasets SolarFlare
- Implementation:Langchain ai Langchain Anthropic Model Profiles
Heuristics
- Heuristic:Anthropics Anthropic sdk python Streaming For Long Requests
- Heuristic:NVIDIA NeMo Aligner Adam State Offloading Tip
- Heuristic:Huggingface Datasets Flatten Indices Performance
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Evidentlyai Evidently Drift Detection Thresholds
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
- Heuristic:Huggingface Datatrove MinHash Parameter Tuning
- Heuristic:Tensorflow Serving Resource Estimation Rules
- Heuristic:Kserve Kserve Prefix Cache Consistency
- Heuristic:Apache Airflow DAG Complexity Reduction
Environments
- Environment:Apache Druid Web Console Development
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Triton inference server Server Docker Container Build
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:HKUDS AI Trader MCP Services
- Environment:Lance format Lance Rust Toolchain
- Environment:CARLA simulator Carla Build From Source Requirements
- Environment:DistrictDataLabs Yellowbrick Optional NLP Dependencies
- Environment:Google research Deduplicate text datasets Rust Cargo Build Environment
- Environment:Datahub project Datahub Docker Runtime