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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:OpenBMB UltraFeedback Dataset Construction
- Workflow:FMInference FlexLLMGen Single GPU Offloaded Inference
- Workflow:Protectai Modelscan Programmatic Model Scanning
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:Bentoml BentoML Multi Model Composition
- Workflow:BerriAI Litellm Proxy Server Deployment
- Workflow:Marker Inc Korea AutoRAG RAG Pipeline Optimization
- Workflow:TA Lib Ta lib python Candlestick Pattern Recognition
- Workflow:Openai Openai agents python Basic Agent Execution
- Workflow:Cohere ai Cohere python Streaming Chat
Principles
- Principle:Langfuse Langfuse Batch Export Format Transformation
- Principle:Haotian liu LLaVA Visual Instruction Tuning
- Principle:Cleanlab Cleanlab Identifier Column Issue Detection
- Principle:Triton inference server Server Performance Verification
- Principle:Onnx Onnx Output Dimension Expansion
- Principle:Tensorflow Serving Hardware Tuning
- Principle:Openai Whisper Basic Text Normalization
- Principle:Openai Evals Eval Metrics
- Principle:OWASP Www project top 10 for large language model applications Translation Quality Review
- Principle:Ggml org Llama cpp Parallel Request Handling
Implementations
- Implementation:Recommenders team Recommenders MINDAll Iterator
- Implementation:Googleapis Python genai Sphinx BaseStemmer
- Implementation:Rapidsai Cuml Pairwise Kernels
- Implementation:Treeverse LakeFS Java SDK Model HookRunList
- Implementation:Vespa engine Vespa ConfigSubscriber NextConfig
- Implementation:Confident ai Deepeval Observe Decorator
- Implementation:Google deepmind Dm control MuJoCo Scene Export
- Implementation:NVIDIA DALI SmallVector Tests
- Implementation:Ray project Ray Ray Task Cross Language
- Implementation:LaurentMazare Tch rs ModuleT Batch Accuracy
Heuristics
- Heuristic:Bentoml BentoML Warning Deprecated Server Module
- Heuristic:Eric mitchell Direct preference optimization Activation Checkpointing Memory
- Heuristic:Sktime Pytorch forecasting Encoder Decoder Length Limits
- Heuristic:Explodinggradients Ragas LLM Temperature Defaults
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Mlc ai Web llm Tokenizer JSON Preference
- Heuristic:Fede1024 Rust rdkafka Regular Polling Required
- Heuristic:Huggingface Trl QLoRA BF16 Adapter Casting
- Heuristic:Microsoft Agent framework PowerFx Python Version Limit
- Heuristic:Mbzuai oryx Awesome LLM Post training Depth Limit Recursion At 2
Environments
- Environment:Apache Dolphinscheduler Database Backend
- Environment:PacktPublishing LLM Engineers Handbook VLLM Evaluation Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database
- Environment:Apache Paimon Optional Extensions
- Environment:Huggingface Optimum GPTQ Quantization Environment
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:Huggingface Transformers Python 310 Runtime
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Obss Sahi Python Detection Frameworks
- Environment:Microsoft DeepSpeedExamples SuperOffload Runtime