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Workflows
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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:Ggml org Llama cpp Multimodal Inference
- Workflow:Mlc ai Mlc llm Disaggregated Serving
- Workflow:LLMBook zh LLMBook zh github io Data Preprocessing Pipeline
- Workflow:AUTOMATIC1111 Stable diffusion webui Checkpoint merging
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:Run llama Llama index OpenAI LLM Finetuning
- Workflow:Microsoft Semantic kernel Kernel Setup And Chat Completion
- Workflow:PeterL1n BackgroundMattingV2 Image matting inference
- Workflow:Huggingface Trl PPO RLHF Training
- Workflow:SeldonIO Seldon core AB Testing Experiment
Principles
- Principle:Sktime Pytorch forecasting MLP Decoder
- Principle:Online ml River Online ML Utilities
- Principle:Princeton nlp SimPO Response Post Processing
- Principle:Huggingface Diffusers Prior Preservation
- Principle:Mlflow Mlflow Prompt Template Design
- Principle:Volcengine Verl Multimodal Data Preparation
- Principle:Teamcapybara Capybara RSpec Integration
- Principle:Huggingface Transformers Commit Bisection Debugging
- Principle:Isaac sim IsaacGymEnvs Automatic Domain Randomization
- Principle:Danijar Dreamerv3 Distributed Environment Execution
Implementations
- Implementation:Datahub project Datahub StreamingDataSourceV2RelationVisitor
- Implementation:Allenai Open instruct Mason Main
- Implementation:Infiniflow Ragflow Request Client
- Implementation:Apache Paimon RESTCatalogOptions
- Implementation:NVIDIA TransformerEngine JAX XLA GEMM
- Implementation:InternLM Lmdeploy Gemm TiledMma
- Implementation:Norrrrrrr lyn WAInjectBench load detector image
- Implementation:Speechbrain Speechbrain Train AISHELL1 Transformer
- Implementation:Microsoft Playwright DefaultFontFamilies
- Implementation:Predibase Lorax Response Format Type
Heuristics
- Heuristic:Intel Ipex llm LoRA Target All Linear Layers
- Heuristic:Openclaw Openclaw Cache TTL Asymmetric Strategy
- Heuristic:Apache Beam Lock Contention Batching
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:LMCache LMCache CacheGen Quantization Strategy
- Heuristic:EvolvingLMMs Lab Lmms eval Distributed Padding Strategy
- Heuristic:Fastai Fastbook Mixup Data Augmentation
- Heuristic:Googleapis Python genai API Retry Backoff Strategy
- Heuristic:Google deepmind Mujoco MJX Feature Compatibility
- Heuristic:Huggingface Datatrove Gopher Quality Thresholds
Environments
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:MaterializeInc Materialize Dbt Materialize Runtime
- Environment:Trailofbits Fickling Python Runtime
- Environment:Snorkel team Snorkel SpaCy NLP
- Environment:Huggingface Datasets Audio Video Dependencies
- Environment:Huggingface Open r1 vLLM Server
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements
- Environment:Mlc ai Mlc llm CUDA GPU Environment
- Environment:Treeverse LakeFS Spark GC Environment