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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:NVIDIA NeMo Aligner Reward Model Training
- Workflow:Datahub project Datahub Metadata Actions Pipeline
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Deepset ai Haystack Document Indexing Pipeline
- Workflow:Run llama Llama index Data Ingestion Pipeline
- Workflow:Webdriverio Webdriverio Page Object Pattern
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
Principles
- Principle:Openai Openai python Image Editing
- Principle:Microsoft Autogen Handoff Termination
- Principle:Huggingface Datasets In Place Format Setting
- Principle:CARLA simulator Carla Sensor Placement Geometry
- Principle:Togethercomputer Together python API Error Handling
- Principle:Ggml org Llama cpp File Memory Mapping
- Principle:Huggingface Datasets Audio Feature Handling
- Principle:Run llama Llama index Evaluation Result Analysis
- Principle:Langgenius Dify Deployment and API Access
- Principle:VainF Torch Pruning Magnitude Importance
Implementations
- Implementation:Deepspeedai DeepSpeed DeepSpeedEngine Save For SP
- Implementation:Deepspeedai DeepSpeed GEMM Test
- Implementation:Ollama Ollama Imagegen Engine Generate
- Implementation:OpenRLHF OpenRLHF Compute reward
- Implementation:Teamcapybara Capybara Edge Driver Specialization
- Implementation:Facebookresearch Habitat lab ClientMessageManager
- Implementation:LaurentMazare Tch rs Tensor Fallible Generated
- Implementation:NVIDIA NeMo Curator ParquetWriter
- Implementation:Arize ai Phoenix LangChain Adapter
- Implementation:Open compass VLMEvalKit UniSVG Utils
Heuristics
- Heuristic:Alibaba MNN Warning Deprecated Winograd Codegen
- Heuristic:Microsoft BIPIA Delta Weight CPU Loading
- Heuristic:PeterL1n BackgroundMattingV2 Data Augmentation Strategy
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Ray project Ray NaN Score Filtering In PBT
- Heuristic:Trailofbits Fickling Force Flag Bypass
- Heuristic:Microsoft Onnxruntime Memory Recomputation Optimization
- Heuristic:Marker Inc Korea AutoRAG Deterministic Evaluation Generation
- Heuristic:Alibaba MNN LLM Runtime Tuning
- Heuristic:Apache Kafka Container JMX RMI Port Tip
Environments
- Environment:Mlfoundations Open flamingo Evaluation Dependencies
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:Googleapis Python genai Vertex AI Service Account
- Environment:Kserve Kserve Leader Worker Set
- Environment:Getgauge Taiko Chromium Browser
- Environment:Google deepmind Dm control Python MuJoCo Runtime
- Environment:Getgauge Taiko Node Runtime
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Alibaba ROLL ROCm GPU Environment