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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:DistrictDataLabs Yellowbrick Regression Model Evaluation
- Workflow:Onnx Onnx Version Conversion
- Workflow:Webdriverio Webdriverio Cloud Service Integration
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
- Workflow:Togethercomputer Together python Fine Tuning
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Mbzuai oryx Awesome LLM Post training Deep Paper Collection
- Workflow:PrefectHQ Prefect Per Worker Task Concurrency
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:Truera Trulens LangGraph Agent Evaluation
Principles
- Principle:NVIDIA DALI Pipeline Definition
- Principle:Webdriverio Webdriverio Page Source Analysis
- Principle:VainF Torch Pruning Growing Regularization
- Principle:Openclaw Openclaw Skill Loading
- Principle:Pytorch Serve Non PyTorch Model Serving
- Principle:Webdriverio Webdriverio PluginSystem
- Principle:Huggingface Optimum GPTQ Quantizer Configuration
- Principle:Iterative Dvc Database Import
- Principle:Nautechsystems Nautilus trader Historical Data Wrangling
- Principle:Microsoft Semantic kernel Process Framework Frontend
Implementations
- Implementation:Microsoft Autogen GroupChat Events
- Implementation:Guardrails ai Guardrails Install API Extra
- Implementation:NVIDIA NeMo Curator RayActorPoolExecutor
- Implementation:Datajuicer Data juicer Process Utils
- Implementation:Zai org CogVideo I2V Export To Video
- Implementation:Huggingface Alignment handbook Trainer Save And Push
- Implementation:Sgl project Sglang ModelConfig And LoadConfig
- Implementation:HKUDS AI Trader Ainvoke With Retry
- Implementation:Webdriverio Webdriverio Appium Types
- Implementation:SeleniumHQ Selenium Bootstrap Main Entry
Heuristics
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
- Heuristic:Huggingface Alignment handbook Gradient Checkpointing Use Cache
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Speechbrain Speechbrain GAN Dual Optimizer Pattern
- Heuristic:Gretelai Gretel synthetics Mixed Precision Training Tradeoff
- Heuristic:Rapidsai Cuml Batch Size Memory Tradeoff
- Heuristic:Ggml org Llama cpp Batch Size BLAS Minimum
- Heuristic:Apache Kafka Unknown Record Type Upgrade Safety
- Heuristic:Huggingface Optimum GPTQ Quantization Defaults
- Heuristic:Googleapis Python genai AFC Max Remote Calls Limit
Environments
- Environment:Tensorflow Tfjs Python Converter
- Environment:Huggingface Optimum Tensor Parallelization Environment
- Environment:OpenHands OpenHands Frontend Build Environment
- Environment:Elevenlabs Elevenlabs python PyAudio
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:Anthropics Anthropic sdk python GCP Vertex Environment
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment