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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:Vibrantlabsai Ragas Prompt Optimization
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:Onnx Onnx Version Conversion
- Workflow:Vibrantlabsai Ragas Experiment Driven Development
- Workflow:Run llama Llama index ReAct Agent
- Workflow:Cypress io Cypress Component Test Execution
- Workflow:Googleapis Python genai Function Calling and Tools
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Elevenlabs Elevenlabs python Voice Cloning
- Workflow:Google deepmind Dm control Multi Agent Soccer Setup
Principles
- Principle:Sktime Pytorch forecasting Decomposition Linear
- Principle:Farama Foundation Gymnasium Vector Rendering
- Principle:Google deepmind Mujoco Arena Allocation
- Principle:Langgenius Dify Access Control
- Principle:CarperAI Trlx Prompt Preparation
- Principle:ARISE Initiative Robomimic Train Validation Split
- Principle:Iamhankai Forest of Thought Input Diversity Shuffling
- Principle:Bentoml BentoML Model Loading For Serving
- Principle:Mlflow Mlflow Documentation Site Configuration
- Principle:Run llama Llama index Pipeline State Persistence
Implementations
- Implementation:Langgenius Dify UseCommon
- Implementation:Confident ai Deepeval ContextGenerator
- Implementation:SqueezeAILab ETS Evaluate And Majority Vote
- Implementation:Guardrails ai Guardrails AsyncValidatorService
- Implementation:BerriAI Litellm Cooldown Cache
- Implementation:Trailofbits Fickling Run Import Hook
- Implementation:Getgauge Taiko TargetHandler
- Implementation:Haosulab ManiSkill MP Solutions Pattern
- Implementation:Explodinggradients Ragas PromptMixin Save Load
- Implementation:Mlc ai Web llm Create MLC Engine
Heuristics
- Heuristic:Arize ai Phoenix Notebook Event Loop Patching
- Heuristic:Bigscience workshop Petals Batch Splitting Threshold
- Heuristic:Kubeflow Kubeflow Issue Routing To Sub Repos
- Heuristic:Obss Sahi Confidence Threshold Setting
- Heuristic:Tencent Ncnn FP16 Precision Selection
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Teamcapybara Capybara Frozen Time Detection
- Heuristic:TA Lib Ta lib python STOCHRSI Vs STOCH RSI
- Heuristic:Kserve Kserve Autoscaler Concurrency Target
- Heuristic:Langgenius Dify Warning Deprecated Default Datasource Auth
Environments
- Environment:Truera Trulens OpenAI Provider Environment
- Environment:Mbzuai oryx Awesome LLM Post training Git CLI
- Environment:OWASP Www project top 10 for large language model applications GenAI Red Team Environment
- Environment:Sgl project Sglang Triton
- Environment:Apache Spark Release Build Environment
- Environment:Helicone Helicone Python ClickHouse Migrations
- Environment:Infiniflow Ragflow Python Runtime
- Environment:DistrictDataLabs Yellowbrick Python Scikit Learn Environment
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:Mlc ai Mlc llm WebGPU Browser Environment