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Welcome to Leeroopedia
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:Tensorflow Serving Model Version Management
- Workflow:Google deepmind Mujoco GPU batched simulation MJX
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Nightwatchjs Nightwatch Custom Commands And Assertions
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
- Workflow:Ggml org Ggml MNIST Training And Evaluation
- Workflow:Langgenius Dify RAG Pipeline Development
- Workflow:Langgenius Dify Plugin Management
- Workflow:InternLM Lmdeploy VLM Inference Pipeline
Principles
- Principle:Vespa engine Vespa Embedding Generation
- Principle:AUTOMATIC1111 Stable diffusion webui Sampling Architecture
- Principle:Langchain ai Langchain Version Bumping
- Principle:Sail sg LongSpec Tree Speculative Decoding
- Principle:Huggingface Transformers Quantized Model Loading
- Principle:Neuml Txtai Zero Shot Classification
- Principle:DataExpert io Data engineer handbook Aggregation Transformation
- Principle:FlowiseAI Flowise Dependency Management
- Principle:Langchain ai Langchain Production Publishing
- Principle:InternLM Lmdeploy SmoothQuant Quantization
Implementations
- Implementation:Datahub project Datahub Docker CLI Lifecycle
- Implementation:Ucbepic Docetl SpotlightOverlay
- Implementation:Run llama Llama index RecursiveRetriever
- Implementation:Google deepmind Mujoco Simulate Header
- Implementation:Speechbrain Speechbrain GigaSpeech Dataset CTC
- Implementation:Datahub project Datahub RequiresMutable
- Implementation:Ucbepic Docetl DebateContent
- Implementation:Huggingface Transformers Save Pretrained
- Implementation:CarperAI Trlx GPTRewardModel
- Implementation:Haosulab ManiSkill WidowX250S
Heuristics
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Microsoft BIPIA BF16 Compute Capability Check
- Heuristic:Scikit learn Scikit learn Feature Scaling Numerical Stability
- Heuristic:Neuml Txtai MacOS Stability Workarounds
- Heuristic:Deepseek ai Janus CFG Weight Tuning
- Heuristic:Allenai Open instruct NCCL CUMEM Disable
- Heuristic:Lance format Lance Warning Deprecated Legacy Encodings
- Heuristic:SeleniumHQ Selenium Bazel Hermetic Build Requirement
- Heuristic:CARLA simulator Carla Sensor Queue Synchronization Pattern
Environments
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Nightwatchjs Nightwatch Android Mobile Testing
- Environment:FlagOpen FlagEmbedding Python PyTorch Environment
- Environment:Spotify Luigi Python Runtime
- Environment:Pytorch Serve CUDA GPU Environment
- Environment:Evidentlyai Evidently Python Core Environment
- Environment:Marker Inc Korea AutoRAG Vector Database Backends
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Apache Shardingsphere ZooKeeper Cluster Coordination
- Environment:Apache Druid Web Console Development