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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:Huggingface Open r1 Reasoning Data Generation
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:Spotify Luigi Local Batch Pipeline
- Workflow:Langchain ai Langgraph Human in the Loop Agent
- Workflow:Lucidrains X transformers Autoregressive Language Modeling
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Kornia Kornia ONNX Model Pipeline
- Workflow:Lance format Lance Table Optimization
- Workflow:Mit han lab Llm awq HuggingFace Model Export
Principles
- Principle:Tensorflow Tfjs Pretrained Model Loading
- Principle:Ggml org Llama cpp Merged Model Quantization
- Principle:Langgenius Dify Feature Configuration
- Principle:Webdriverio Webdriverio Cloud Capabilities Definition
- Principle:ThreeSR Awesome Inference Time Scaling Entry Format Verification
- Principle:Facebookresearch Audiocraft Sample Management
- Principle:Tensorflow Serving SavedModel Preparation
- Principle:Pyro ppl Pyro Conditional Density Estimation
- Principle:Dagster io Dagster Data Quality Validation
- Principle:Kserve Kserve Gateway Inference Extension
Implementations
- Implementation:Google deepmind Mujoco USD Layer Sink
- Implementation:Tensorflow Tfjs Training Weighted Test
- Implementation:ARISE Initiative Robosuite TrajUtils
- Implementation:Datahub project Datahub Proto2DataHub RestEmitter Emit
- Implementation:Farama Foundation Gymnasium Play
- Implementation:Google deepmind Dm control Locomotion Arenas
- Implementation:Recommenders team Recommenders EmbeddingDotBias Model
- Implementation:CARLA simulator Carla Actor Class
- Implementation:Run llama Llama index Settings Embed Model Assignment
- Implementation:Ucbepic Docetl Directive DocChunking
Heuristics
- Heuristic:Openai Whisper SDPA Disabling For Attention Extraction
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Explodinggradients Ragas Failed Metrics Return NaN
- Heuristic:NVIDIA TransformerEngine Sequence Length Alignment
- Heuristic:Datahub project Datahub Warning Deprecated Spark Lineage Legacy
- Heuristic:Cypress io Cypress Timeout Tuning
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Neuml Txtai Thread Safety Constraints
- Heuristic:ARISE Initiative Robosuite Numba BSOD Workaround
Environments
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Volcengine Verl vLLM Rollout Environment
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:ContextualAI HALOs CUDA 12 1 Training Environment
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Shiyu coder Kronos Qlib Data Environment
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:HKUDS AI Trader Python LangChain Runtime