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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:Snorkel team Snorkel Slice Aware Training
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Huggingface Optimum Model Export
- Workflow:BerriAI Litellm Proxy Server Deployment
- Workflow:Fastai Fastbook Image Classification
- Workflow:Bitsandbytes foundation Bitsandbytes 8bit Optimizer Training
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Hpcaitech ColossalAI RAG Application
- Workflow:Apache Airflow Kubernetes Deployment via Helm
Principles
- Principle:Online ml River Online Random Forest Variants
- Principle:AnswerDotAI RAGatouille In Memory Search
- Principle:Astronomer Astronomer cosmos Graph Parsing and Task Generation
- Principle:Treeverse LakeFS Java SDK Data Models
- Principle:ARISE Initiative Robosuite Robot Simulation Abstraction
- Principle:Haosulab ManiSkill Real Robot Deployment
- Principle:Groq Groq python Embedding Input Preparation
- Principle:Bentoml BentoML Cloud Deployment Creation
- Principle:Marker Inc Korea AutoRAG Node Line Execution
- Principle:LaurentMazare Tch rs Vendored Image IO
Implementations
- Implementation:Predibase Lorax Medusa Adapter
- Implementation:Hiyouga LLaMA Factory V1 Inference Engine
- Implementation:Fastai Fastbook Training Loop Manual
- Implementation:NVIDIA NeMo Curator CosmosEmbed1EmbeddingStage
- Implementation:Online ml River Datasets ImageSegments
- Implementation:Neuml Txtai Textractor
- Implementation:Nightwatchjs Nightwatch Web Element Type Definitions
- Implementation:Pyro ppl Pyro OMTMultivariateNormal
- Implementation:Facebookresearch Habitat lab GuiDrawer
- Implementation:Mistralai Client python JSONL Data Format
Heuristics
- Heuristic:OpenGVLab InternVL Gradient Checkpointing Memory
- Heuristic:Sktime Pytorch forecasting Batch Size Selection
- Heuristic:Mlc ai Mlc llm FlashInfer KV Cache Fallback
- Heuristic:Princeton nlp SimPO Concatenated Forward Pass
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:Apache Spark K8s Container Patterns
- Heuristic:PacktPublishing LLM Engineers Handbook Token Window Safety Margin
- Heuristic:HKUDS AI Trader Sortino Ratio Capping
- Heuristic:Apache Dolphinscheduler Datasource Cache Expiry
Environments
- Environment:Sgl project Sglang Grafana
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:Apache Airflow Database Backend Environment
- Environment:Protectai Llm guard Python Runtime Dependencies
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Datahub project Datahub Python 3 10 Ingestion Environment
- Environment:Google deepmind Mujoco C Build Environment
- Environment:Farama Foundation Gymnasium JAX Functional Backend
- Environment:NVIDIA TransformerEngine GPU Compute Capability