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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:Axolotl ai cloud Axolotl Multimodal Vision Finetuning
- Workflow:OpenGVLab InternVL Multi Stage Pretraining
- Workflow:Microsoft Onnxruntime ORTModule Training
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:Sktime Pytorch forecasting NBeats Univariate Forecasting
- Workflow:Gretelai Gretel synthetics DGAN Timeseries Generation
- Workflow:OpenRLHF OpenRLHF PPO Ray Training
- Workflow:Volcengine Verl Vision Language Model RL Training
- Workflow:Rapidsai Cuml Multi GPU Distributed ML
- Workflow:Facebookresearch Habitat lab HITL Interactive Evaluation
Principles
- Principle:Microsoft LoRA LoRA Checkpoint Saving
- Principle:Fede1024 Rust rdkafka Client Configuration
- Principle:Tensorflow Tfjs Pooling Operations
- Principle:Roboflow Rf detr ONNX Export Dependencies
- Principle:Nightwatchjs Nightwatch Feature File Authoring
- Principle:Ray project Ray Docker Image Building
- Principle:Pytorch Serve Instance Segmentation
- Principle:Deepset ai Haystack PDF Conversion
- Principle:Datahub project Datahub SDK Dependency Management
- Principle:Norrrrrrr lyn WAInjectBench Dynamic Detector Loading Image
Implementations
- Implementation:BerriAI Litellm Weights Biases Logger
- Implementation:Googleapis Python genai Tokens Converters
- Implementation:Triton inference server Server VertexAiServer
- Implementation:Microsoft Onnxruntime CUDA Adasum
- Implementation:SeleniumHQ Selenium Closure KeyCodes
- Implementation:Volcengine Verl Multimodal Rollout Request
- Implementation:Interpretml Interpret CutUniform
- Implementation:Openai Openai node Skill Versions
- Implementation:LMCache LMCache Redis Adapter
- Implementation:InternLM Lmdeploy StopCriteriaKernels
Heuristics
- Heuristic:HKUDS AI Trader A Share Lot Size Rule
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Fastai Fastbook Random Forest Defaults
- Heuristic:Princeton nlp Tree of thought llm Duplicate Candidate Zeroing
- Heuristic:SeldonIO Seldon core Model Load Timeout Tip
- Heuristic:Facebookresearch Audiocraft Codebook Dead Code Expiration
- Heuristic:Scikit learn Scikit learn Working Memory Tuning
- Heuristic:Kornia Kornia Avoid Inplace Ops Compile
- Heuristic:Hpcaitech ColossalAI Gradient Checkpointing Memory Tip
- Heuristic:Infiniflow Ragflow Hybrid Search Fallback Strategy
Environments
- Environment:Risingwavelabs Risingwave Rust Build Environment
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:Roboflow Rf detr Python GPU Environment
- Environment:Apache Druid Druid Operator Kubernetes
- Environment:Bigscience workshop Petals Python Hivemind
- Environment:Langchain ai Langchain Anthropic API Credentials
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Facebookresearch Audiocraft FAD TensorFlow Environment
- Environment:Marker Inc Korea AutoRAG API Keys Configuration