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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:CARLA simulator Carla Autonomous Navigation
- Workflow:LLMBook zh LLMBook zh github io Data Preprocessing Pipeline
- Workflow:Gretelai Gretel synthetics LSTM Text Generation
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Huggingface Diffusers Text to Image Inference
- Workflow:Explodinggradients Ragas LLM Benchmarking
- Workflow:Fastai Fastbook NLP Text Classification
- Workflow:Liu00222 Open Prompt Injection Detection Localization Defense
- Workflow:TobikoData Sqlmesh Dbt project migration
Principles
- Principle:Apache Kafka MirrorMaker Invocation
- Principle:Dotnet Machinelearning Fast Fourier Transform
- Principle:Guardrails ai Guardrails RailSpecification
- Principle:Langgenius Dify Workflow Execution Monitoring
- Principle:Microsoft BIPIA Few Shot Example Construction
- Principle:Spcl Graph of thoughts Benchmark Execution Pattern
- Principle:Vespa engine Vespa Version Preparation
- Principle:Openclaw Openclaw Log Inspection
- Principle:Googleapis Python genai Manual Function Execution
- Principle:Cypress io Cypress Configuration Validation
Implementations
- Implementation:Avhz RustQuant SABR Process
- Implementation:FlowiseAI Flowise AllowedDomains
- Implementation:Microsoft Playwright LocalUtils
- Implementation:Turboderp org Exllamav2 ThreadPool
- Implementation:Confident ai Deepeval Observe Decorator Agent Type
- Implementation:NVIDIA NeMo Aligner Attribute Annotate
- Implementation:Infiniflow Ragflow RetrievalDocuments Component
- Implementation:Tensorflow Tfjs Tf Model Functional
- Implementation:Open compass VLMEvalKit AKI
- Implementation:CarperAI Trlx Trlx Train Offline
Heuristics
- Heuristic:Pytorch Serve CPU Performance Tuning
- Heuristic:PeterL1n BackgroundMattingV2 Mixed Precision Training
- Heuristic:Openai Whisper Log Probability Threshold
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:Iterative Dvc Run Cache Restoration Strategy
- Heuristic:Axolotl ai cloud Axolotl Memory Optimization Tips
Environments
- Environment:Lm sys FastChat SFT Training Environment
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Vllm project Vllm CUDA
- Environment:Mlc ai Web llm WebGPU Browser Runtime
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:OpenHands OpenHands Integration Credentials
- Environment:VainF Torch Pruning PyTorch Python Core
- Environment:Openai CLIP Python Dependencies
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:Kornia Kornia ONNX Runtime Environment