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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:Junyanz Pytorch CycleGAN and pix2pix CycleGAN Training
- Workflow:Mlc ai Mlc llm Mobile Deployment
- Workflow:ARISE Initiative Robosuite Human Demonstration Collection
- Workflow:Isaac sim IsaacGymEnvs Policy Inference and Evaluation
- Workflow:InternLM Lmdeploy LLM API Server Deployment
- Workflow:LaurentMazare Tch rs Pretrained Image Classification
- Workflow:OpenHands OpenHands Organization Onboarding
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
- Workflow:Microsoft Agent framework Basic Agent Creation
- Workflow:Getgauge Taiko Headless Browser Testing
Principles
- Principle:ChenghaoMou Text dedup Duplicate Removal And Output
- Principle:Sdv dev SDV Metadata Loading
- Principle:Pytorch Serve LLM Text Generation
- Principle:Huggingface Diffusers Video Pipeline Selection
- Principle:Huggingface Open r1 Training Callbacks
- Principle:Rapidsai Cuml Forest Inference
- Principle:Open compass VLMEvalKit Image Inference Orchestration
- Principle:Explodinggradients Ragas Evaluation Dataset Preparation
- Principle:Pytorch Serve IPEX Quantized Inference
- Principle:NVIDIA TransformerEngine FSDP Integration
Implementations
- Implementation:Sgl project Sglang Attention Ops
- Implementation:Langfuse Langfuse ObservationForEval
- Implementation:Risingwavelabs Risingwave SnowflakeJDBCSinkConfig
- Implementation:PacktPublishing LLM Engineers Handbook HfApi Model Info
- Implementation:OWASP Www project top 10 for large language model applications ExploitTracker Analyze
- Implementation:AUTOMATIC1111 Stable diffusion webui XLMRoBERTa Encoder
- Implementation:ARISE Initiative Robosuite JacoThreeFingerGripper
- Implementation:Testtimescaling Testtimescaling github io Actions Checkout V3
- Implementation:Open compass VLMEvalKit CGAVCounting Utils
- Implementation:Bentoml BentoML HuggingFaceModel Descriptor
Heuristics
- Heuristic:CARLA simulator Carla PID Controller Tuning
- Heuristic:Dotnet Machinelearning LDA Thread Reservation
- Heuristic:Zai org CogVideo LoRA Configuration Tips
- Heuristic:Huggingface Diffusers Guidance Scale Defaults
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Gretelai Gretel synthetics Gumbel Softmax NaN Retry
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Datajuicer Data juicer Batch Size Adaptation
- Heuristic:Speechbrain Speechbrain Data Augmentation Defaults
- Heuristic:Duckdb Duckdb Test Development Guidelines
Environments
- Environment:Intel Ipex llm RAG LangChain Environment
- Environment:Roboflow Rf detr ONNX Export Environment
- Environment:Vespa engine Vespa FNET Transport Config
- Environment:Openai Whisper Triton
- Environment:InternLM Lmdeploy Python Dependencies
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:Sgl project Sglang Multi Platform Accelerators
- Environment:Rapidsai Cuml Dask Distributed
- Environment:Deepspeedai DeepSpeed CPU Environment
- Environment:Kubeflow Kubeflow Python KFP SDK Environment