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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:CARLA simulator Carla Building from Source
- Workflow:Huggingface Optimum FX Graph Optimization
- Workflow:Huggingface Trl Direct Preference Optimization
- Workflow:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:Nightwatchjs Nightwatch Component Testing
- Workflow:Zai org CogVideo Video Captioning
- Workflow:Langchain ai Langchain Tool Calling Structured Output
- Workflow:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:BerriAI Litellm Response Caching
- Workflow:Googleapis Python genai Model Fine Tuning
Principles
- Principle:EvolvingLMMs Lab Lmms eval Task Testing
- Principle:Volcengine Verl Multimodal Data Preparation
- Principle:Facebookresearch Audiocraft Audio Generation Evaluation
- Principle:Microsoft BIPIA Response Generation
- Principle:Cleanlab Cleanlab Segmentation Label Quality Scoring
- Principle:Allenai Open instruct Distributed Data Loading
- Principle:Triton inference server Server Memory Allocation Testing
- Principle:NVIDIA TransformerEngine Baseline Transformer Layer
- Principle:Cleanlab Cleanlab Clean Model Inference
- Principle:Junyanz Pytorch CycleGAN and pix2pix Dataset Pair Alignment
Implementations
- Implementation:Openai Openai python Response Reasoning Summary Part Added
- Implementation:Getgauge Taiko MouseAction
- Implementation:Kornia Kornia Conftest
- Implementation:Pyro ppl Pyro Regional SIR
- Implementation:OpenHands OpenHands Business Router Pattern
- Implementation:Langgenius Dify Security Middleware
- Implementation:ArroyoSystems Arroyo Two Phase Committer
- Implementation:TobikoData Sqlmesh PlanBuilder Forward Only
- Implementation:Cohere ai Cohere python FinetuningClient Create
- Implementation:Haosulab ManiSkill StackCube
Heuristics
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Kserve Kserve NCCL RoCE Auto Detection
- Heuristic:NVIDIA NeMo Aligner Higher Stability Log Probs
- Heuristic:Kornia Kornia CPU GPU Branching Tip
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:Unslothai Unsloth GGUF Quantization Selection
- Heuristic:Apache Flink False Positive Availability Optimization
- Heuristic:Alibaba ROLL Sequence Packing Alignment
- Heuristic:Langgenius Dify Env Sync Upgrade Strategy
Environments
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Mit han lab Llm awq Flash Attention Environment
- Environment:Langgenius Dify Docker Compose Environment
- Environment:Unslothai Unsloth CUDA VLLM
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Interpretml Interpret Python Core Environment
- Environment:Sgl project Sglang Triton
- Environment:Datajuicer Data juicer GPU CUDA Environment
- Environment:Run llama Llama index OpenAI API Configuration