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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 |
Explore Pages
Workflows
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:Webdriverio Webdriverio WDIO Testrunner Setup
- Workflow:Facebookresearch Audiocraft MusicGen Training Pipeline
- Workflow:FlagOpen FlagEmbedding Reranker Finetuning
- Workflow:BerriAI Litellm SDK Completion
- Workflow:Deepspeedai DeepSpeed Inference Engine Optimization
- Workflow:Langfuse Langfuse Evaluation pipeline
- Workflow:DataTalksClub Data engineering zoomcamp Kafka Stream Processing
- Workflow:Dotnet Machinelearning Text Classification
- Workflow:Openai Openai agents python Multi Agent Handoff
Principles
- Principle:Tensorflow Serving Version Label Routing
- Principle:Trailofbits Fickling Pickle Bytecode Parsing
- Principle:Protectai Llm guard Secret Detection
- Principle:Sdv dev SDV Schema Simplification
- Principle:Confident ai Deepeval Exception Hierarchy Design
- Principle:Neuml Txtai Training Data Preparation
- Principle:Tensorflow Serving Graph Rewriting
- Principle:Webdriverio Webdriverio Test Framework Integration
- Principle:Huggingface Optimum Backend Availability Detection
- Principle:Sktime Pytorch forecasting Reversible Instance Normalization
Implementations
- Implementation:Pyro ppl Pyro SineSkewed
- Implementation:Huggingface Alignment handbook Get Tokenizer
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Create Dataset
- Implementation:Open compass VLMEvalKit MVBench Utils
- Implementation:Bitsandbytes foundation Bitsandbytes Optimizer8bit Step
- Implementation:Neuml Txtai Client Database
- Implementation:Apache Airflow Stats Singleton
- Implementation:Lance format Lance Java IndexParams
- Implementation:Hpcaitech ColossalAI Trainer Utils
- Implementation:Scikit learn Scikit learn KMeans
Heuristics
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:Microsoft Agent framework Async Context Manager Cleanup
- Heuristic:Bentoml BentoML Warning Deprecated Legacy Service
- Heuristic:Dotnet Machinelearning LDA Thread Reservation
- Heuristic:Marker Inc Korea AutoRAG Empty Result Fallback
- Heuristic:Kserve Kserve Server Side Apply For CRDs
- Heuristic:Volcengine Verl FSDP Mixed Precision Init
- Heuristic:Interpretml Interpret Categorical Float Conversion Gotcha
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
Environments
- Environment:Alibaba MNN GPU Metal Environment
- Environment:Diagram of thought Diagram of thought LLM API
- Environment:Vllm project Vllm Distributed
- Environment:ChenghaoMou Text dedup Python 3 12 Environment
- Environment:LLMBook zh LLMBook zh github io VLLM Inference Environment
- Environment:ClickHouse ClickHouse Linux Build Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Sdv dev SDV GPU CUDA Support
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Openai Openai agents python Python 3 9 Runtime