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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:Onnx Onnx Version Conversion
- Workflow:Openai CLIP Prompt engineered classification
- Workflow:BerriAI Litellm Response Caching
- Workflow:Vllm project Vllm Offline Text Generation
- Workflow:Huggingface Trl Supervised Finetuning
- Workflow:Volcengine Verl Supervised Fine Tuning
- Workflow:Microsoft Autogen Studio Team Deployment
- Workflow:Microsoft Autogen Tool Augmented Agent
- Workflow:Lm sys FastChat Distributed Model Serving
- Workflow:Cohere ai Cohere python Chat Completion
Principles
- Principle:PeterL1n BackgroundMattingV2 Homographic alignment
- Principle:Apache Airflow Branch Preparation
- Principle:AUTOMATIC1111 Stable diffusion webui Webui Global State Management
- Principle:Sktime Pytorch forecasting Hyperparameter Optimization
- Principle:Danijar Dreamerv3 Distributed Replay Management
- Principle:Microsoft BIPIA Clean Response Collection
- Principle:Openai Evals Solver Output Postprocessing
- Principle:Mistralai Client python Message Construction
- Principle:DataTalksClub Data engineering zoomcamp Parquet Data Ingestion
- Principle:Ray project Ray Actor Runtime Initialization
Implementations
- Implementation:Farama Foundation Gymnasium RecordEpisodeStatistics
- Implementation:Kornia Kornia Total Variation Loss
- Implementation:SeleniumHQ Selenium Closure UI Control
- Implementation:PacktPublishing LLM Engineers Handbook DatasetGenerator Generate
- Implementation:Iterative Dvc Lock
- Implementation:Ollama Ollama Convert Qwen3Next
- Implementation:Microsoft Playwright Electron
- Implementation:Infiniflow Ragflow DatasetActionCell Component
- Implementation:Speechbrain Speechbrain Brain Fit CTC
- Implementation:PacktPublishing LLM Engineers Handbook FastLanguageModel From Pretrained
Heuristics
- Heuristic:Microsoft Agent framework Declaration Only Tools Pattern
- Heuristic:LMCache LMCache Chunk Size And Default Config
- Heuristic:OpenGVLab InternVL Packed Training Buffer Management
- Heuristic:Roboflow Rf detr Small Dataset Oversampling
- Heuristic:Huggingface Datatrove Thundering Herd Prevention
- Heuristic:Langgenius Dify API Token Single Flight Caching
- Heuristic:Openai Openai python Retry Backoff Strategy
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:SeldonIO Seldon core Tracing Latency Tip
- Heuristic:Apache Dolphinscheduler Datasource Cache Expiry
Environments
- Environment:LLMBook zh LLMBook zh github io PyTorch CUDA GPU Environment
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Lance format Lance Python Environment
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:HKUDS AI Trader Browser Runtime
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Getgauge Taiko Docker Container
- Environment:Microsoft DeepSpeedExamples CIFAR10 Training Environment