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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:Microsoft Onnxruntime Distributed Model Training
- Workflow:Rapidsai Cuml Time Series Forecasting
- Workflow:Ggml org Llama cpp Model Quantization
- Workflow:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Open compass VLMEvalKit Video Benchmark Evaluation
- Workflow:VainF Torch Pruning LLM Structural Pruning
- Workflow:Tensorflow Serving Model Export And Serving
- Workflow:Princeton nlp Tree of thought llm ToT BFS experiment
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Eric mitchell Direct preference optimization SFT Training
Principles
- Principle:Microsoft Onnxruntime Nodejs Inference Execution
- Principle:FMInference FlexLLMGen Input Prompt Design
- Principle:OWASP Www project top 10 for large language model applications Automated Vulnerability Scanning
- Principle:Triton inference server Server Server Launch
- Principle:ArroyoSystems Arroyo Pipeline Creation
- Principle:Kserve Kserve LLMIsvc Controller Reconciliation
- Principle:Ggml org Llama cpp Android Inference
- Principle:VainF Torch Pruning Magnitude Importance
- Principle:Fastai Fastbook Entity Embeddings
- Principle:EvolvingLMMs Lab Lmms eval Result Gathering
Implementations
- Implementation:Apache Druid SegmentsView
- Implementation:FlagOpen FlagEmbedding AbsEmbedderTrainingArguments
- Implementation:Junyanz Pytorch CycleGAN and pix2pix Save Images
- Implementation:Ggml org Ggml Ggml blas backend
- Implementation:Princeton nlp Tree of thought llm Test Output
- Implementation:Alibaba MNN MNNConvert Info
- Implementation:Hpcaitech ColossalAI DetachedTrainer
- Implementation:OpenGVLab InternVL Streamlit Controller
- Implementation:OpenGVLab InternVL LLaVATrainer
- Implementation:Mlc ai Mlc llm JSON Parser
Heuristics
- Heuristic:Online ml River HST Feature Scaling Requirement
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Ray project Ray Autoscaling Delay Tuning
- Heuristic:Astronomer Astronomer cosmos Static Parser Hang Workaround
- Heuristic:Lance format Lance BM25 FTS Configuration
- Heuristic:Fede1024 Rust rdkafka Commit Mode Sync Vs Async
- Heuristic:Alibaba ROLL PPO Clipping Defaults
- Heuristic:Langchain ai Langchain Retry Scope Best Practice
- Heuristic:Microsoft DeepSpeedExamples RLHF Stability Constraints
- Heuristic:Ggml org Llama cpp Quantization Quality Tips
Environments
- Environment:Langgenius Dify Python Backend Environment
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment
- Environment:Pyro ppl Pyro Funsor Backend
- Environment:Elevenlabs Elevenlabs python Python Httpx
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Protectai Modelscan Python Core Runtime
- Environment:Vllm project Vllm ROCm
- Environment:Tensorflow Serving Kubernetes Deployment Environment
- Environment:Apache Beam Java Build Environment
- Environment:MaterializeInc Materialize Docker Compose Runtime