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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:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:NVIDIA DALI Video Processing Pipeline
- Workflow:Marker Inc Korea AutoRAG Data Creation Pipeline
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:Mistralai Client python Chat Completion
- Workflow:Openai Openai node Realtime Conversation
- Workflow:Kubeflow Pipelines Standalone Deployment
- Workflow:Mlflow Mlflow Prompt Management
- Workflow:Datahub project Datahub CLI Metadata Ingestion
- Workflow:Obss Sahi COCO Evaluation
Principles
- Principle:LMCache LMCache Disaggregated Proxy Routing
- Principle:Duckdb Duckdb SQL Grammar Generation
- Principle:Apache Airflow Provider Release Process
- Principle:Apache Kafka Coordinator State Loading
- Principle:Openclaw Openclaw Channel Setup
- Principle:Run llama Llama index Batch Evaluation Setup
- Principle:Google deepmind Dm control Robot Configuration
- Principle:Apache Druid Dimension Measure Configuration
- Principle:Apache Paimon Catalog Initialization
- Principle:Tensorflow Serving Kubernetes Resource Deployment
Implementations
- Implementation:Bentoml BentoML IO Models
- Implementation:AnswerDotAI RAGatouille RAGPretrainedModel Search Encoded Docs
- Implementation:SeleniumHQ Selenium Closure Events
- Implementation:Ollama Ollama Tokenizer BPE
- Implementation:Ggml org Ggml Metal backend
- Implementation:NVIDIA DALI S3 Filesystem
- Implementation:Explodinggradients Ragas Collections ContextPrecision Metric
- Implementation:Ollama Ollama MLXRunner MLX Generated H
- Implementation:NVIDIA TransformerEngine PyTorch Ext Comm Overlap
- Implementation:SeleniumHQ Selenium Alert
Heuristics
- Heuristic:Cypress io Cypress Xvfb Display Gotcha
- Heuristic:Nightwatchjs Nightwatch Node 17 DNS IPv4 Workaround
- Heuristic:Hpcaitech ColossalAI Warning Deprecated Ray Detached PPO
- Heuristic:Isaac sim IsaacGymEnvs GPU Pipeline Selection
- Heuristic:Predibase Lorax GPU Sampling Optimization
- Heuristic:Gretelai Gretel synthetics Parallel Generation CUDA Disable
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Togethercomputer Together python Multipart Upload Strategy
- Heuristic:LLMBook zh LLMBook zh github io LoRA Initialization Strategy
- Heuristic:Mlc ai Mlc llm BLAS Dispatch Decision
Environments
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Turboderp org Exllamav2 Build Toolchain
- Environment:Mistralai Client python GCP Deployment Environment
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment
- Environment:Hiyouga LLaMA Factory Optional Inference Backends
- Environment:Mlc ai Mlc llm Metal macOS iOS Environment
- Environment:Obss Sahi Python Detection Frameworks
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment
- Environment:Apache Shardingsphere Java Runtime Environment