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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:Haotian liu LLaVA Benchmark Evaluation
- Workflow:Anthropics Anthropic sdk python Streaming Message Interaction
- Workflow:Haosulab ManiSkill Sim2Real Deployment
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Mage ai Mage ai Building a New Destination Connector
- Workflow:NVIDIA NeMo Aligner REINFORCE Training
- Workflow:Mlc ai Mlc llm REST API Serving
- Workflow:Axolotl ai cloud Axolotl QLoRA SFT Finetuning
- Workflow:ARISE Initiative Robomimic Training Policy From Demonstrations
- Workflow:Microsoft LoRA LoRA Integration
Principles
- Principle:Microsoft Semantic kernel Embedding Generation
- Principle:NVIDIA TransformerEngine Tensor Parallel Initialization
- Principle:Vespa engine Vespa Log Target and Level Configuration
- Principle:TA Lib Ta lib python Pattern Scanning
- Principle:Pola rs Polars SQL Context Creation
- Principle:Deepspeedai DeepSpeed Mesh Device Configuration
- Principle:Avhz RustQuant Root Finding
- Principle:EvolvingLMMs Lab Lmms eval Registry Registration
- Principle:Lance format Lance Version Cleanup
- Principle:Ucbepic Docetl Pipeline Assembly And Execution
Implementations
- Implementation:NVIDIA TransformerEngine Padding C API
- Implementation:Lance format Lance Chunker
- Implementation:Ggml org Llama cpp Preset Header
- Implementation:Liu00222 Open Prompt Injection PromptLocate locate and recover
- Implementation:Microsoft Onnxruntime CPU SummaryOps
- Implementation:Togethercomputer Together python CLI Main Entry
- Implementation:Open compass VLMEvalKit VITAQwen2
- Implementation:Evidentlyai Evidently Legacy Base Renderer
- Implementation:Risingwavelabs Risingwave StreamingStats Callbacks
- Implementation:NVIDIA DALI COCO TFRecord Creator
Heuristics
- Heuristic:Langchain ai Langgraph Retry Policy Configuration
- Heuristic:Eric mitchell Direct preference optimization RMSprop Over Adam
- Heuristic:LaurentMazare Tch rs CuDNN Benchmark Mode
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
- Heuristic:Obss Sahi Warning Deprecated Legacy NMS
- Heuristic:Microsoft LoRA LoRA Rank Selection
- Heuristic:Deepset ai Haystack Pipeline Deep Copy Safety
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
Environments
- Environment:Spcl Graph of thoughts Python 3 8 Runtime
- Environment:Microsoft Autogen Studio Server Environment
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Neuml Txtai API Server Configuration
- Environment:Groq Groq python Python Groq SDK
- Environment:Allenai Open instruct vLLM Inference
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Truera Trulens Snowflake Connector Environment
- Environment:ARISE Initiative Robosuite MuJoCo Python
- Environment:Nautechsystems Nautilus trader Arrow Parquet Serialization