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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:Tensorflow Tfjs Sequential Model Training
- Workflow:ClickHouse ClickHouse Server Deployment
- Workflow:Sgl project Sglang ModelOpt Quantization And Export
- Workflow:Datahub project Datahub Python Metadata Emission
- Workflow:Turboderp org Exllamav2 Multimodal Vision Inference
- Workflow:Explodinggradients Ragas Prompt Evaluation And Iteration
- Workflow:Princeton nlp SimPO SimPO Training
- Workflow:Ucbepic Docetl Playground Interactive Development
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Huggingface Diffusers Model Quantization
Principles
- Principle:Triton inference server Server Build Requirements Planning
- Principle:Cleanlab Cleanlab Cross Validation Predicted Probabilities
- Principle:AUTOMATIC1111 Stable diffusion webui Startup Performance Profiling
- Principle:Protectai Llm guard Language Consistency Checking
- Principle:Onnx Onnx Model Building
- Principle:Openclaw Openclaw Dependency Version Locking
- Principle:Pytorch Serve Instance Segmentation
- Principle:Mlc ai Mlc llm Custom Request Routing
- Principle:Huggingface Transformers CI Test Data Caching
- Principle:Isaac sim IsaacGymEnvs Asset Preparation
Implementations
- Implementation:Ollama Ollama Discover CPU Linux
- Implementation:Apache Kafka Docker Registry Push
- Implementation:Bitsandbytes foundation Bitsandbytes Backend Quantization Tables
- Implementation:Recommenders team Recommenders PySARPlus Cpp
- Implementation:Openai Openai python Batches Resource
- Implementation:InternLM Lmdeploy Gemm Format
- Implementation:Open compass VLMEvalKit ChartMimic Legend Evaluator
- Implementation:Predibase Lorax Generate Response Handler
- Implementation:Mlc ai Mlc llm Config Base
- Implementation:FlowiseAI Flowise SSOConfig
Heuristics
- Heuristic:Deepset ai Haystack Embedding Batch Size And Prefix
- Heuristic:Bitsandbytes foundation Bitsandbytes Outlier Threshold Detection
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Microsoft Onnxruntime Threading Configuration Tips
- Heuristic:Deepspeedai DeepSpeed Sequence Parallel PyTorch Version
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:Tensorflow Tfjs GPU Pipeline Data Residency
- Heuristic:InternLM Lmdeploy KV Quantization Tradeoffs
- Heuristic:CarperAI Trlx Reward Model Layer Freezing
- Heuristic:Huggingface Alignment handbook Sequence Packing Strategy
Environments
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:Astronomer Astronomer cosmos Cosmos Airflow Configuration
- Environment:Fastai Fastbook Python FastAI Environment
- Environment:Openai Openai agents python Memory Extensions Dependencies
- Environment:Sail sg LongSpec Inference Environment
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Intel Ipex llm CPU Finetuning Environment
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Microsoft Autogen Extension Optional Dependencies
- Environment:PacktPublishing LLM Engineers Handbook Selenium Chrome Crawler Environment