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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:Hpcaitech ColossalAI DPO Alignment
- Workflow:LMCache LMCache Disaggregated Prefill
- Workflow:Webdriverio Webdriverio Standalone Browser Automation
- Workflow:OpenRLHF OpenRLHF Reward Model Training
- Workflow:Openclaw Openclaw Channel Connection
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:BerriAI Litellm SDK Completion
- Workflow:LLMBook zh LLMBook zh github io LoRA Finetuning
- Workflow:Apache Shardingsphere Shadow Rule Configuration
- Workflow:Facebookresearch Habitat lab Custom Task Extension
Principles
- Principle:Evidentlyai Evidently Project Configuration
- Principle:Princeton nlp Tree of thought llm Prompt Engineering
- Principle:Neuml Txtai ONNX Export
- Principle:Eventual Inc Daft Batch UDF
- Principle:Eventual Inc Daft Arrow Export
- Principle:ClickHouse ClickHouse Client Package Configuration
- Principle:Turboderp org Exllamav2 Dataset Loading
- Principle:Intel Ipex llm RAG Chain Assembly
- Principle:Fastai Fastbook Transfer Learning
- Principle:Sktime Pytorch forecasting Quantile Loss
Implementations
- Implementation:Infiniflow Ragflow UseAgentHistoryManager
- Implementation:MarketSquare Robotframework browser Clock Grpc Handlers
- Implementation:Turboderp org Exllamav2 ThreadPool
- Implementation:Ollama Ollama Llama Unicode
- Implementation:Duckdb Duckdb Regression Test Scripts
- Implementation:Arize ai Phoenix Docs Site Config
- Implementation:Run llama Llama index AzureOpenAIFinetuneEngine
- Implementation:Speechbrain Speechbrain Train CommonVoice Seq2Seq Wav2Vec
- Implementation:Apache Druid FancyNumericInput
- Implementation:Ggml org Ggml Virtgpu command stream
Heuristics
- Heuristic:ARISE Initiative Robomimic Checkpoint Selection Strategy
- Heuristic:Vespa engine Vespa Log Level Inheritance Polling
- Heuristic:TA Lib Ta lib python STOCHRSI Vs STOCH RSI
- Heuristic:Openai CLIP CLIP Normalization Constants
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Dotnet Machinelearning Text File Sampling Strategy
- Heuristic:Mit han lab Llm awq GPU Memory Management Patterns
- Heuristic:Microsoft DeepSpeedExamples LoRA Learning Rate Scaling
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
- Heuristic:Apache Dolphinscheduler Netty Thread Sizing
Environments
- Environment:Pola rs Polars Python Runtime Environment
- Environment:Helicone Helicone Wrangler CLI
- Environment:Langgenius Dify Redis And Celery Environment
- Environment:Infiniflow Ragflow Docker Infrastructure
- Environment:InternLM Lmdeploy Build From Source
- Environment:Mlflow Mlflow Docker Container Environment
- Environment:PrefectHQ Prefect Python Runtime Environment
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Google research Deduplicate text datasets Python HuggingFace Environment