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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:Mistralai Client python Streaming Chat Completion
- Workflow:Iterative Dvc Pipeline Reproduction
- Workflow:Tensorflow Serving Model Version Management
- Workflow:Spotify Luigi Central Scheduler Deployment
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Huggingface Optimum FX Graph Optimization
- Workflow:Puppeteer Puppeteer PDF Generation
- Workflow:ClickHouse ClickHouse Server Deployment
- Workflow:Promptfoo Promptfoo Red Team Security Scan
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
Principles
- Principle:PrefectHQ Prefect Flow Orchestration
- Principle:Trailofbits Fickling Import Level Pickle Interception
- Principle:Scikit learn Scikit learn Text Feature Extraction
- Principle:Interpretml Interpret Explanation Preservation
- Principle:Danijar Dreamerv3 Distributed Environment Execution
- Principle:Ggml org Llama cpp Logging System
- Principle:LaurentMazare Tch rs PyTorch Binding Code Generation
- Principle:Apache Hudi Demo Environment Cleanup
- Principle:Ggml org Llama cpp Evaluation Parameter Configuration
- Principle:DataExpert io Data engineer handbook SQL Verification Queries
Implementations
- Implementation:Cleanlab Cleanlab CIFAR CNN
- Implementation:Ggml org Ggml Ggml build forward expand
- Implementation:Scikit learn Scikit learn KernelDensity
- Implementation:Sgl project Sglang CUTLASS MoE
- Implementation:Langfuse Langfuse CreatePrompt
- Implementation:OpenGVLab InternVL MPT Model
- Implementation:CARLA simulator Carla Actor Class
- Implementation:FMInference FlexLLMGen DeepSpeed Inference PT Binding
- Implementation:Haosulab ManiSkill PickClutterYCB
- Implementation:Online ml River Anomaly PAD
Heuristics
- Heuristic:Zai org CogVideo Training Hyperparameter Defaults
- Heuristic:Openai Openai python Fine Tuning Data Preparation Tips
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:HKUDS AI Trader Market Type Auto Detection
- Heuristic:Marker Inc Korea AutoRAG Empty Result Fallback
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:OpenHands OpenHands Streamable HTTP Over SSE
- Heuristic:Datahub project Datahub Secret Handling And Deprecation Patterns
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
Environments
- Environment:Pyro ppl Pyro CUDA GPU Acceleration
- Environment:NVIDIA NeMo Aligner NeMo Framework GPU Environment
- Environment:Kornia Kornia PyTorch Python Environment
- Environment:FMInference FlexLLMGen HuggingFace Access
- Environment:Fastai Fastbook NLP SpaCy Environment
- Environment:OpenBMB UltraFeedback OpenAI API Environment
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:Huggingface Alignment handbook PyTorch CUDA