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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:Apache Flink File Sink Pipeline
- Workflow:Alibaba MNN Model Conversion Pipeline
- Workflow:ArroyoSystems Arroyo SQL Pipeline Lifecycle
- Workflow:Rapidsai Cuml Time Series Forecasting
- Workflow:AnswerDotAI RAGatouille Document Indexing And Search
- Workflow:Langfuse Langfuse Evaluation pipeline
- Workflow:Microsoft BIPIA Attack Success Rate Evaluation
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
- Workflow:Intel Ipex llm DPO Finetuning
Principles
- Principle:Huggingface Datasets SQL Export
- Principle:Google deepmind Mujoco Visualization Initialization
- Principle:Microsoft Autogen State Persistence
- Principle:NVIDIA NeMo Curator KMeans Clustering for Embeddings
- Principle:Hpcaitech ColossalAI Evaluation Configuration
- Principle:EvolvingLMMs Lab Lmms eval HTTP API Model Serving
- Principle:Testtimescaling Testtimescaling github io Integration Verification
- Principle:Mlflow Mlflow CI Test Matrix Generation
- Principle:FlagOpen FlagEmbedding RetroMAE Pretraining
- Principle:Farama Foundation Gymnasium Observation Action Space Design
Implementations
- Implementation:Bitsandbytes foundation Bitsandbytes Backend Quantization Tables
- Implementation:Explodinggradients Ragas LangSmith Integration
- Implementation:TobikoData Sqlmesh Load Sql Based Model
- Implementation:LMCache LMCache Offload Server Interface
- Implementation:Ollama Ollama XTools WebSearch
- Implementation:InternLM Lmdeploy Tensor
- Implementation:Togethercomputer Together python Rerank Create
- Implementation:Langfuse Langfuse Sessions UI Table Events Service
- Implementation:FlagOpen FlagEmbedding BGE Coder Run Generation
- Implementation:MaterializeInc Materialize Mark Release Complete Main
Heuristics
- Heuristic:NVIDIA DALI Last Batch Policy Selection
- Heuristic:OpenRLHF OpenRLHF vLLM Embedding Resize Warning
- Heuristic:Huggingface Peft Gradient Checkpointing With Quantization
- Heuristic:EvolvingLMMs Lab Lmms eval Truncated Image Handling
- Heuristic:Tensorflow Tfjs Memory Management With Tidy
- Heuristic:OpenGVLab InternVL Dynamic Resolution Tiling
- Heuristic:Ucbepic Docetl Token Counting And Truncation
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:CARLA simulator Carla Client Server Version Match
- Heuristic:Helicone Helicone Tiered Pricing Threshold Matching
Environments
- Environment:Hpcaitech ColossalAI ColossalQA RAG Environment
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed
- Environment:Apache Kafka Committer Tools Environment
- Environment:Mlc ai Mlc llm Python Serving Environment
- Environment:Confident ai Deepeval Python 3 9 Runtime
- Environment:Huggingface Peft Optional Quantization Backends
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Lance format Lance SIMD And Platform Requirements
- Environment:Kserve Kserve Cert Manager