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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:Dotnet Machinelearning Text Classification
- Workflow:Nightwatchjs Nightwatch Cucumber BDD Integration
- Workflow:Langfuse Langfuse Dataset experiment pipeline
- Workflow:Deepspeedai DeepSpeed Inference Engine Optimization
- Workflow:FMInference FlexLLMGen HELM Benchmark Evaluation
- Workflow:Teamcapybara Capybara RSpec Integration Setup
- Workflow:Zai org CogVideo Diffusers Text to Video Inference
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:Mlc ai Mlc llm Model Compilation
- Workflow:Getgauge Taiko Headless Browser Testing
Principles
- Principle:Cypress io Cypress Test Result Reporting
- Principle:Ollama Ollama KVCache Composite Caching
- Principle:Apache Flink Data Generation
- Principle:Speechbrain Speechbrain Whisper Finetuning With LR Scheduling
- Principle:Explodinggradients Ragas Framework Message Conversion
- Principle:Apache Hudi Read Environment Configuration
- Principle:DistrictDataLabs Yellowbrick Error Handling
- Principle:Neuml Txtai Search Explainability
- Principle:Elevenlabs Elevenlabs python Audio Sample Preparation
- Principle:Google deepmind Mujoco Rendering Resource Cleanup
Implementations
- Implementation:Google deepmind Dm control Render Context Base
- Implementation:Bentoml BentoML Buildah Backend
- Implementation:Run llama Llama index RagDatasetGenerator
- Implementation:Explodinggradients Ragas RougeScore Metric
- Implementation:Neuml Txtai EmbeddingsTool Init
- Implementation:NVIDIA NeMo Curator IDGenerator
- Implementation:Tensorflow Serving log collector h
- Implementation:SeleniumHQ Selenium WindowType
- Implementation:Ucbepic Docetl MOARSearch Search
- Implementation:Volcengine Verl SAPO Training Script
Heuristics
- Heuristic:SeleniumHQ Selenium Cross Binding Consistency Check
- Heuristic:Datajuicer Data juicer Partition Size Tuning
- Heuristic:Kserve Kserve VLLM GPU Memory Utilization
- Heuristic:CarperAI Trlx KL Coefficient Adaptation
- Heuristic:Mit han lab Llm awq Skip QK Projection Clipping
- Heuristic:Apache Druid Explore Compare Query Strategy
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:Volcengine Verl GPU Memory Utilization Tuning
- Heuristic:MaterializeInc Materialize CI Retry Strategies
- Heuristic:Shiyu coder Kronos Gradient Clipping Strategy
Environments
- Environment:LLMBook zh LLMBook zh github io HuggingFace Transformers Stack
- Environment:Microsoft Playwright Platform Support Environment
- Environment:Volcengine Verl Ray Distributed Environment
- Environment:Langchain ai Langchain Python 3 10 Runtime
- Environment:Shiyu coder Kronos Comet ML Logging
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:AnswerDotAI RAGatouille GPU CUDA Runtime
- Environment:Haifengl Smile Native BLAS LAPACK ARPACK
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:InternLM Lmdeploy Python Dependencies