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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:Volcengine Verl Supervised Fine Tuning
- Workflow:LLMBook zh LLMBook zh github io Data Preprocessing Pipeline
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Mlflow Mlflow Model Serving
- Workflow:Huggingface Datatrove Common Crawl Processing
- Workflow:SeldonIO Seldon core Production Monitoring Pipeline
- Workflow:Interpretml Interpret EBM Training And Prediction
- Workflow:Huggingface Datasets Dataset Loading and Exploration
- Workflow:Predibase Lorax OpenAI Chat Completion
- Workflow:Kubeflow Kubeflow Platform Deployment
Principles
- Principle:Kornia Kornia Image Loading
- Principle:HKUDS AI Trader Portfolio Metrics Calculation
- Principle:Facebookresearch Audiocraft Sound Dataset Augmented Loading
- Principle:Kubeflow Pipelines Pipeline Composition
- Principle:CarperAI Trlx Branch Benchmarking
- Principle:OpenRLHF OpenRLHF Interactive Model Inference
- Principle:Tencent Ncnn Detection Visualization
- Principle:Datahub project Datahub Stack Lifecycle Management
- Principle:Tensorflow Serving Class Registration Pattern
- Principle:MaterializeInc Materialize Workflow Function Authoring
Implementations
- Implementation:Sgl project Sglang CPU Activation
- Implementation:Haosulab ManiSkill TriFingerPro
- Implementation:Sdv dev SDV Run Diagnostic
- Implementation:Datajuicer Data juicer TextChunkMapper
- Implementation:Microsoft Playwright TraceV5
- Implementation:Pyro ppl Pyro DCTAdam
- Implementation:PacktPublishing LLM Engineers Handbook Settings Load
- Implementation:Datahub project Datahub Docker CLI Quickstart
- Implementation:Langgenius Dify Env File Setup
- Implementation:Triton inference server Server L0 Trace Test
Heuristics
- Heuristic:Cypress io Cypress Global Install Warning
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Scikit learn contrib Imbalanced learn Sampling Strategy Selection
- Heuristic:Duckdb Duckdb Unity Build Strategy
- Heuristic:Apache Beam Thread Pool Parallelism Sizing
- Heuristic:Cleanlab Cleanlab KNN Distance Metric Selection
- Heuristic:ContextualAI HALOs TF32 Matmul Acceleration
- Heuristic:Iterative Dvc Path Performance Optimization
- Heuristic:Tencent Ncnn NMS Threshold Tuning
- Heuristic:Langgenius Dify Gevent Monkey Patching Order
Environments
- Environment:Helicone Helicone Docker Compose Infrastructure
- Environment:Ggml org Llama cpp CMake Build Environment
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Sgl project Sglang Web
- Environment:NVIDIA NeMo Curator NVIDIA DALI
- Environment:ArroyoSystems Arroyo Kubernetes Deployment
- Environment:Sgl project Sglang Python Dependencies
- Environment:Sdv dev SDV Python Runtime
- Environment:Alibaba MNN HuggingFace Ecosystem Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration