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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:PacktPublishing LLM Engineers Handbook Feature Engineering
- Workflow:Eric mitchell Direct preference optimization Custom Dataset Integration
- Workflow:Langgenius Dify Application Creation
- Workflow:Shiyu coder Kronos CSV Finetuning
- Workflow:ChenghaoMou Text dedup Benchmark Evaluation
- Workflow:Mlflow Mlflow Model Logging and Registry
- Workflow:Deepspeedai DeepSpeed Hybrid Engine RLHF Training
- Workflow:Haosulab ManiSkill RL Training with PPO
- Workflow:Norrrrrrr lyn WAInjectBench Embedding Classifier Training
- Workflow:SeldonIO Seldon core Model Explainability
Principles
- Principle:Mit han lab Llm awq Checkpoint Preparation
- Principle:Onnx Onnx Numpy Tensor Conversion
- Principle:Sktime Pytorch forecasting NHiTS Architecture
- Principle:Interpretml Interpret Decision Tree Classification
- Principle:Farama Foundation Gymnasium Batched Environment Interaction
- Principle:FlagOpen FlagEmbedding Multi Task Retrieval Embedder
- Principle:Kserve Kserve Pipeline Validation
- Principle:Openai Openai node Tool Loop Resolution
- Principle:FMInference FlexLLMGen Model Replacement Policy
- Principle:Unslothai Unsloth Synthetic Data Generation
Implementations
- Implementation:Mlc ai Mlc llm Model Metadata Impl
- Implementation:Hpcaitech ColossalAI Load QA Chain
- Implementation:Openai Openai python Response Reasoning Summary Text Done
- Implementation:Risingwavelabs Risingwave StreamChunkIterator
- Implementation:Alibaba MNN Protobuf Extension Set H
- Implementation:Infiniflow Ragflow ChunkCreatingModal Component
- Implementation:Lance format Lance FixedSizeListEncoding
- Implementation:Predibase Lorax Router Client Lib
- Implementation:Cohere ai Cohere python EmbedJobsClient Create
- Implementation:Tencent Ncnn SimpleOCV
Heuristics
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:Run llama Llama index Chunk Size Optimization
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Fede1024 Rust rdkafka Multi Version Dependency Hazard
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:Avhz RustQuant Finite Difference Grid Sizing
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Teamcapybara Capybara Async Waiting And Retry
- Heuristic:Mlfoundations Open flamingo Gradient Clipping Max Norm
- Heuristic:Hpcaitech ColossalAI CUDA Device Max Connections Tip
Environments
- Environment:Vespa engine Vespa Java 17 Build Runtime
- Environment:Facebookresearch Habitat lab HITL Runtime Environment
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Huggingface Datatrove Processing Dependencies
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Mage ai Mage ai Singer SDK And Joblib Runtime
- Environment:Langchain ai Langchain OpenAI API Credentials
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud
- Environment:Vllm project Vllm CUDA GPU Runtime
- Environment:Microsoft Onnxruntime Windows Build Environment