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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:CARLA simulator Carla Traffic Generation
- Workflow:Cleanlab Cleanlab Object Detection Label Quality
- Workflow:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Groq Groq python Chat Completion
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:AUTOMATIC1111 Stable diffusion webui Hypernetwork training
- Workflow:Iterative Dvc Plot Visualization
- Workflow:Ggml org Llama cpp Interactive Chat
- Workflow:Huggingface Open r1 SFT Distillation
Principles
- Principle:Langgenius Dify DesignSystem
- Principle:Apache Airflow Helm Values Configuration
- Principle:Recommenders team Recommenders News Prediction Export
- Principle:Infiniflow Ragflow Knowledge Base Creation
- Principle:Apache Airflow Monitoring Observability
- Principle:Shiyu coder Kronos Single Series Forecasting
- Principle:Huggingface Transformers Tiny Model Generation
- Principle:Sgl project Sglang Generation Function Definition
- Principle:ARISE Initiative Robosuite Trajectory Interpolation
- Principle:Zai org CogVideo DDIM Pipeline Loading
Implementations
- Implementation:Microsoft Autogen Agbench Tabulate Cmd
- Implementation:Roboflow Rf detr RFDETR Size Variants
- Implementation:Guardrails ai Guardrails SequentialValidatorService
- Implementation:Online ml River Anomaly PAD
- Implementation:Onnx Onnx FunctionExpandHelper
- Implementation:Bigscience workshop Petals Dataset Loading Pipeline
- Implementation:Microsoft Playwright LocalUtilsDispatcher
- Implementation:Huggingface Datatrove JobsStatus
- Implementation:Treeverse LakeFS Java SDK MetadataApi
- Implementation:Openai Openai python API Error Hierarchy
Heuristics
- Heuristic:Vespa engine Vespa RPM Zstd Compression Settings
- Heuristic:Predibase Lorax CUDA Graph Batch Size Caching
- Heuristic:OpenRLHF OpenRLHF Packing Samples Efficiency Tip
- Heuristic:TA Lib Ta lib python Unstable Period Configuration
- Heuristic:PeterL1n BackgroundMattingV2 Training Batch Size And Resolution
- Heuristic:TobikoData Sqlmesh Model Change Categorization
- Heuristic:TobikoData Sqlmesh Forward Only Safety
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Langchain ai Langgraph Recursion Limit Tuning
- Heuristic:Intel Ipex llm Llama Padding Token Workaround
Environments
- Environment:Evidentlyai Evidently LLM Evaluation Environment
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:Apache Beam Java Build Environment
- Environment:Farama Foundation Gymnasium MuJoCo Physics Backend
- Environment:Mlfoundations Open flamingo WebDataset Training Dependencies
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Huggingface Alignment handbook DeepSpeed Multi Node
- Environment:Unstructured IO Unstructured All Docs
- Environment:Cleanlab Cleanlab Datalab Dependencies
- Environment:Tensorflow Serving Docker Runtime Environment