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Workflows
7,697
Principles
16,832
Implementations
1,245
Heuristics
909
Environments
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 |
Explore Pages
Workflows
- Workflow:Langchain ai Langgraph ReAct Agent Creation
- Workflow:AUTOMATIC1111 Stable diffusion webui Text to image generation
- Workflow:EvolvingLMMs Lab Lmms eval Distributed Multi GPU Evaluation
- Workflow:Farama Foundation Gymnasium RL Agent Training Loop
- Workflow:Explodinggradients Ragas Agent Evaluation
- Workflow:Ggml org Llama cpp Text Generation
- Workflow:TA Lib Ta lib python Abstract API Usage
- Workflow:Getgauge Taiko Interactive Test Recording
- Workflow:Huggingface Optimum GPTQ Quantization
- Workflow:Vespa engine Vespa Document indexing pipeline
Principles
- Principle:Isaac sim IsaacGymEnvs Skeleton Visualization
- Principle:Huggingface Datatrove LLM Inference Execution
- Principle:Ggml org Llama cpp Model Download
- Principle:Interpretml Interpret SHAP Tree Explanation
- Principle:Kubeflow Kubeflow Tune Hyperparameters
- Principle:Langchain ai Langgraph Graph Persistence Compilation
- Principle:Axolotl ai cloud Axolotl Distributed Environment Setup
- Principle:Haosulab ManiSkill Scene Construction
- Principle:Deepspeedai DeepSpeed Tensor Parallel Training
- Principle:Infiniflow Ragflow Chunking Method Configuration
Implementations
- Implementation:MaterializeInc Materialize Repository Init
- Implementation:Cohere ai Cohere python DatasetsClient Create
- Implementation:Guardrails ai Guardrails ValidationOutcome
- Implementation:CarperAI Trlx NeMo ILQL Trainer
- Implementation:Togethercomputer Together python Translations Create
- Implementation:Microsoft BIPIA AutoLLM
- Implementation:NVIDIA DALI Schema Register Macros
- Implementation:Mit han lab Llm awq NVILAStreamGenerator
- Implementation:Vespa engine Vespa SimpleNormalizer Normalize
- Implementation:Intel Ipex llm Lora Finetune CPU
Heuristics
- Heuristic:InternLM Lmdeploy Max Batch Size Selection
- Heuristic:Alibaba MNN Memory Mode Selection
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Deepspeedai DeepSpeed ZeRO Pipeline Incompatibility
- Heuristic:Bitsandbytes foundation Bitsandbytes CuBLAS Int8 Dimension Alignment
- Heuristic:Apache Spark Memory Tuning Tips
- Heuristic:Alibaba MNN LLM Runtime Tuning
- Heuristic:Kornia Kornia Lazy Loading Optional Deps
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Elevenlabs Elevenlabs python Client Timeout Configuration
Environments
- Environment:Ray project Ray Java Build Environment
- Environment:NVIDIA DALI FFmpeg Environment
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:AUTOMATIC1111 Stable diffusion webui Python And PyTorch Runtime
- Environment:Neuml Txtai Optional Extras Dependencies
- Environment:DataTalksClub Data engineering zoomcamp Dlt BigQuery Environment
- Environment:Duckdb Duckdb Code Formatting Tools
- Environment:Dotnet Machinelearning ONNX Runtime Environment
- Environment:NVIDIA NeMo Curator Video Codec Stack
- Environment:Lance format Lance SIMD And Platform Requirements