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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:Heibaiying BigData Notes Kafka Producer Consumer Pipeline
- Workflow:Microsoft Autogen Graph Based Agent Orchestration
- Workflow:ARISE Initiative Robosuite Environment Setup And Simulation
- Workflow:Openclaw Openclaw Plugin And Skill Extension
- Workflow:OpenRLHF OpenRLHF Rejection Sampling
- Workflow:Spotify Luigi Local Batch Pipeline
- Workflow:Huggingface Diffusers Model Quantization
- Workflow:Cohere ai Cohere python Semantic Search With Rerank
- Workflow:SeldonIO Seldon core Model Explainability
- Workflow:Protectai Modelscan CLI Model Scanning
Principles
- Principle:OWASP Www project top 10 for large language model applications Risk Scoring and Prioritization
- Principle:Liu00222 Open Prompt Injection Attacker Creation
- Principle:Kubeflow Kubeflow Post Deployment Verification
- Principle:DistrictDataLabs Yellowbrick Class Prediction Error Analysis
- Principle:AUTOMATIC1111 Stable diffusion webui Extension Management
- Principle:Huggingface Diffusers Quantized Model Saving
- Principle:Pola rs Polars Dynamic Temporal Aggregation
- Principle:LaurentMazare Tch rs Convolutional Layer
- Principle:Microsoft Semantic kernel Process Builder Creation
- Principle:Google deepmind Dm control Soccer Visualization
Implementations
- Implementation:VainF Torch Pruning Eval PPL
- Implementation:DevExpress Testcafe TypeScriptCompiler
- Implementation:Onnx Onnx Gen Proto
- Implementation:Microsoft Onnxruntime WindowsAI NuGet Pipeline
- Implementation:Turboderp org Exllamav2 Ext QMLP H
- Implementation:Groq Groq python Batches Create
- Implementation:Mistralai Client python Pip Install Mistralai
- Implementation:Microsoft LoRA Legacy Utils Multiple Choice
- Implementation:Huggingface Diffusers LoRA Training Loop
- Implementation:LMCache LMCache HTTP Server
Heuristics
- Heuristic:Huggingface Trl DeepSpeed ZeRO3 Generation Tradeoff
- Heuristic:Dotnet Machinelearning Text File Sampling Strategy
- Heuristic:Deepspeedai DeepSpeed Shared Memory Sizing
- Heuristic:Kubeflow Pipelines Cache Staleness In Recursive Pipelines
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Scikit learn Scikit learn N Jobs Parallelism Tips
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:Mlc ai Web llm KV Cache Window Configuration
- Heuristic:Openai Evals Eval Resumption Strategy
- Heuristic:Haifengl Smile BFGS Convergence Tuning
Environments
- Environment:DataExpert io Data engineer handbook Statsig API Environment
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Webdriverio Webdriverio Browser Driver Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Datahub project Datahub Java Build
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Mit han lab Llm awq VILA Multimodal Environment
- Environment:Huggingface Transformers 3D Parallel Multi GPU
- Environment:Predibase Lorax Docker Container Runtime