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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:SeldonIO Seldon core AB Testing Experiment
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Apache Shardingsphere Shadow Database Routing
- Workflow:Apache Hudi Flink Schema Evolution
- Workflow:Fede1024 Rust rdkafka Mock Cluster Testing
- Workflow:Apache Druid Visual Data Exploration
- Workflow:CrewAIInc CrewAI Knowledge RAG Pipeline
- Workflow:Apache Dolphinscheduler Datasource Connection Management
- Workflow:Cypress io Cypress Local Development Environment
- Workflow:Pola rs Polars Data IO and Format Conversion
Principles
- Principle:Farama Foundation Gymnasium Classic Control Environments
- Principle:DataTalksClub Data engineering zoomcamp Pipeline Containerization
- Principle:Mistralai Client python Stream Lifecycle Management
- Principle:OpenGVLab InternVL Learning Rate Scheduling
- Principle:Zai org CogVideo Image Conditioning Preparation
- Principle:Langchain ai Langgraph Channel Types
- Principle:NVIDIA DALI Operator Schema Registration
- Principle:Haosulab ManiSkill Parallel Trajectory Generation
- Principle:LLMBook zh LLMBook zh github io GPTQ Quantization
- Principle:Ggml org Llama cpp Chat Template Application
Implementations
- Implementation:Cohere ai Cohere python ApiError
- Implementation:Explodinggradients Ragas DataCompyScore Metric
- Implementation:Evidentlyai Evidently Legacy RegExp Feature
- Implementation:Datajuicer Data juicer AlphanumericFilter
- Implementation:Pyro ppl Pyro Pyro Sample
- Implementation:ArroyoSystems Arroyo Redis Connector
- Implementation:Ggml org Llama cpp Pydantic Example
- Implementation:Speechbrain Speechbrain Prepare CommonLanguage LangId
- Implementation:Tensorflow Serving Multi Inference Test
- Implementation:Deepseek ai Janus Noise Initialization
Heuristics
- Heuristic:Vllm project Vllm GPU Memory Utilization Tuning
- Heuristic:Datahub project Datahub Docker Memory Preflight
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Princeton nlp Tree of thought llm Ad Hoc Value Map Scoring
- Heuristic:Intel Ipex llm NF4 Quantization Best Practice
- Heuristic:Ggml org Llama cpp GPU Layer Offloading Verification
- Heuristic:Apache Hudi Data Skipping Limitations
- Heuristic:Duckdb Duckdb Sanitizer Configuration
- Heuristic:Iamhankai Forest of Thought Self Correction Confidence Threshold
Environments
- Environment:ThreeSR Awesome Inference Time Scaling GitHub Account Environment
- Environment:Intel Ipex llm Build Environment
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:Marker Inc Korea AutoRAG API Keys Configuration
- Environment:Microsoft DeepSpeedExamples ZeRO Inference Runtime
- Environment:Risingwavelabs Risingwave Docker Deployment Environment
- Environment:OWASP Www project top 10 for large language model applications PR Description Generator Runtime
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:Pytorch Serve Distributed Training Environment
- Environment:Bentoml BentoML NVIDIA GPU Resource