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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:Recommenders team Recommenders SAR Collaborative Filtering
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:NVIDIA TransformerEngine FP8 Training Quickstart
- Workflow:Langchain ai Langchain Release Process
- Workflow:Microsoft Onnxruntime Nodejs Inference
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Mlc ai Mlc llm Model Compilation
- Workflow:CrewAIInc CrewAI Custom Tool Integration
- Workflow:Iterative Dvc Remote Data Sync
- Workflow:ARISE Initiative Robomimic Dataset Preparation Pipeline
Principles
- Principle:EvolvingLMMs Lab Lmms eval Distributed Environment Setup
- Principle:Treeverse LakeFS API Authentication Specification
- Principle:Allenai Open instruct Sequence Packing
- Principle:Spotify Luigi Database Data Loading
- Principle:Tensorflow Serving Multi Inference
- Principle:Ggml org Llama cpp Model Architecture Registry
- Principle:Mistralai Client python Response Processing
- Principle:BerriAI Litellm Training Data Preparation
- Principle:Recommenders team Recommenders NRMS Architecture
- Principle:Allenai Open instruct Preference Collation
Implementations
- Implementation:Ucbepic Docetl MapOptimizer PromptGenerators
- Implementation:CrewAIInc CrewAI Directory Search Tool
- Implementation:Farama Foundation Gymnasium TaxiEnv
- Implementation:Apache Shardingsphere ShadowRule GetShadowDataSourceMappings
- Implementation:Recommenders team Recommenders Python Chrono Split
- Implementation:Nightwatchjs Nightwatch Nightwatch CLI
- Implementation:Arize ai Phoenix Experiment Task Interface
- Implementation:Zai org CogVideo LPIPS
- Implementation:Googleapis Python genai Chat Send Message
- Implementation:Hiyouga LLaMA Factory V1 Plugin System
Heuristics
- Heuristic:Helicone Helicone Provider URL Regex Priority
- Heuristic:Astronomer Astronomer cosmos Memory Optimised Imports
- Heuristic:Mlc ai Web llm Penalty Parameter Defaults
- Heuristic:ThreeSR Awesome Inference Time Scaling Date Parsing Fallback Tip
- Heuristic:Norrrrrrr lyn WAInjectBench LoRA Rank Alpha Selection
- Heuristic:VainF Torch Pruning GQA Head Pruning Constraints
- Heuristic:Snorkel team Snorkel NLP Preprocessor Memoization
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
- Heuristic:Tensorflow Tfjs Backend Selection Strategy
- Heuristic:InternLM Lmdeploy KV Cache Memory Tuning
Environments
- Environment:Iamhankai Forest of Thought OpenAI API Credentials
- Environment:Danijar Dreamerv3 JAX CUDA
- Environment:Lance format Lance Python Environment
- Environment:Tencent Ncnn Vulkan Environment
- Environment:Vespa engine Vespa Cosign Sigstore Signing
- Environment:Ggml org Ggml Vulkan GPU Environment
- Environment:Apache Druid Druid Cluster Api
- Environment:Ggml org Ggml CUDA GPU Environment
- Environment:ArroyoSystems Arroyo PostgreSQL Database
- Environment:Kubeflow Kubeflow Kubectl Kustomize CLI Environment