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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:Togethercomputer Together python Fine Tuning
- Workflow:Tencent Ncnn Vulkan GPU Accelerated Inference
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:NVIDIA DALI Image Preprocessing Pipeline
- Workflow:Lucidrains X transformers Encoder Decoder Sequence to Sequence
- Workflow:Scikit learn Scikit learn Cross Validation Evaluation
- Workflow:Interpretml Interpret EBM Model Export
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
- Workflow:Dotnet Machinelearning Time Series Forecasting
- Workflow:BerriAI Litellm Proxy Server Deployment
Principles
- Principle:AUTOMATIC1111 Stable diffusion webui Model Discovery
- Principle:Anthropics Anthropic sdk python Provider Selection And Dependencies
- Principle:Cleanlab Cleanlab Clean Model Inference
- Principle:Langgenius Dify Chunking Strategy
- Principle:Langgenius Dify Pipeline Execution Testing
- Principle:Open compass VLMEvalKit Video Dataset Configuration
- Principle:Online ml River Anomaly Quantile Filtering
- Principle:Intel Ipex llm Training With HF Trainer QLoRA
- Principle:Huggingface Optimum Model Decomposition
- Principle:Apache Dolphinscheduler Workflow Engine Orchestration
Implementations
- Implementation:NVIDIA TransformerEngine JAX XLA Quantization
- Implementation:Open compass VLMEvalKit RBDash
- Implementation:Open compass VLMEvalKit JTVLChatWrapper Mini
- Implementation:Openai Whisper Transcribe Timestamp Parsing
- Implementation:Alibaba ROLL Agentic Compute Advantage
- Implementation:Teamcapybara Capybara WhitespaceNormalizer
- Implementation:Datajuicer Data juicer VideoWholeBodyPoseEstimationMapper
- Implementation:TobikoData Sqlmesh UseLocalStorage
- Implementation:Puppeteer Puppeteer Frame Wait Methods
- Implementation:Elevenlabs Elevenlabs python GetKnowledgeBaseSummaryTextResponseModel
Heuristics
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:Nautechsystems Nautilus trader Strategy On Start Initialization
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:Sktime Pytorch forecasting Gradient Clipping Value
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Online ml River SNARIMAX Default Regressor Pipeline
- Heuristic:Trailofbits Fickling Race Condition Prevention
- Heuristic:Langfuse Langfuse Ingestion Date Boundary Delay
- Heuristic:Deepspeedai DeepSpeed Vocabulary Tensor Core Alignment
Environments
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Elevenlabs Elevenlabs python FFmpeg Mpv
- Environment:Promptfoo Promptfoo Browser Automation
- Environment:NVIDIA DALI CUDA GPU Environment
- Environment:Facebookresearch Audiocraft XFormers Memory Efficient Attention
- Environment:VainF Torch Pruning LLM Pruning Dependencies
- Environment:Recommenders team Recommenders Spark Environment
- Environment:Explodinggradients Ragas Google Drive Backend Environment
- Environment:Deepseek ai Janus CUDA GPU Environment