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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:PeterL1n BackgroundMattingV2 Model export
- Workflow:Volcengine Verl Data Preprocessing For RL
- Workflow:VainF Torch Pruning Vision Transformer Pruning
- Workflow:Princeton nlp SimPO On Policy Data Generation
- Workflow:BerriAI Litellm Response Caching
- Workflow:TobikoData Sqlmesh Github CICD automation
- Workflow:Huggingface Alignment handbook QLoRA Single GPU Finetuning
- Workflow:Scikit learn contrib Imbalanced learn Ensemble Imbalanced Classification
- Workflow:Infiniflow Ragflow Document Processing Pipeline
- Workflow:Openai Openai agents python Tool Integrated Agent
Principles
- Principle:Datajuicer Data juicer LLM Backend Configuration
- Principle:Huggingface Datasets Framework Tensor Conversion
- Principle:Online ml River Streaming Statistics
- Principle:Tensorflow Serving Batch Scheduling Configuration
- Principle:Roboflow Rf detr ONNX Model Export
- Principle:Webdriverio Webdriverio BrowserStack Extension Management
- Principle:Bigscience workshop Petals Environment Setup
- Principle:Huggingface Datasets AudioFolder Dataset Building
- Principle:Sgl project Sglang Generation Program Execution
- Principle:Apache Spark SQL Documentation Generation
Implementations
- Implementation:PrefectHQ Prefect Resume Flow Run On PR Merge
- Implementation:Facebookresearch Audiocraft JASCO generate audio
- Implementation:Dagster io Dagster ML Pipeline Assets
- Implementation:Datahub project Datahub ProtobufOneOfField
- Implementation:MaterializeInc Materialize Lint Manager
- Implementation:Kornia Kornia Otsu Threshold
- Implementation:Ucbepic Docetl Dataset Fatal Accidents
- Implementation:ArroyoSystems Arroyo Arrow Operators
- Implementation:Risingwavelabs Risingwave BaseRow
- Implementation:Openai Openai python Resources Package Exports
Heuristics
- Heuristic:Dotnet Machinelearning Tokenizer Caching Strategy
- Heuristic:Deepspeedai DeepSpeed FP16 Convergence Tips
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Google research Deduplicate text datasets Variable Width Pointer Optimization
- Heuristic:ChenghaoMou Text dedup Mersenne Prime Backward Compatibility
- Heuristic:Togethercomputer Together python Retry Backoff Strategy
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
- Heuristic:Nautechsystems Nautilus trader Inflight Order Check Threshold
- Heuristic:Mlflow Mlflow Batch Logging Size Limits
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
Environments
- Environment:Intel Ipex llm RAG LlamaIndex Environment
- Environment:DataExpert io Data engineer handbook Flink Kafka Docker Environment
- Environment:Bitsandbytes foundation Bitsandbytes HPU Gaudi Runtime
- Environment:Mbzuai oryx Awesome LLM Post training Python Requests
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Huggingface Optimum Python Core Dependencies
- Environment:Microsoft Agent framework Core Package Dependencies
- Environment:Alibaba ROLL DeepSpeed Training Environment
- Environment:Ollama Ollama CGo Runtime
- Environment:Dotnet Machinelearning TorchSharp Environment