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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:Microsoft Agent framework Basic Agent Creation
- Workflow:MaterializeInc Materialize CI Pipeline Generation
- Workflow:Ggml org Llama cpp OpenAI Compatible Server
- Workflow:Trailofbits Fickling Pickle Safety Analysis
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pix2pix Training
- Workflow:Ollama Ollama Custom Model Creation
- Workflow:Huggingface Diffusers Checkpoint Conversion
- Workflow:OpenBMB UltraFeedback Dataset Construction
- Workflow:Ggml org Llama cpp Multimodal Inference
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
Principles
- Principle:Huggingface Diffusers ControlNet Architecture
- Principle:Langchain ai Langchain Standard Integration Testing
- Principle:Zai org CogVideo DDIM Inversion
- Principle:Treeverse LakeFS Java SDK API Operations
- Principle:Apache Airflow Testing Quality Assurance
- Principle:Run llama Llama index Pipeline Execution
- Principle:ARISE Initiative Robosuite Robot Simulation Abstraction
- Principle:Huggingface Datasets Text Dataset Building
- Principle:Ggml org Llama cpp DiffusionGeneration
- Principle:Triton inference server Server Classification Postprocessing
Implementations
- Implementation:Open compass VLMEvalKit VideoChatOnlineV2Wrapper
- Implementation:Explodinggradients Ragas MemorableNames Class
- Implementation:Intel Ipex llm Lora Finetune CPU
- Implementation:Eric mitchell Direct preference optimization Canonical Dataset Format
- Implementation:Volcengine Verl SAPO Training Script
- Implementation:Microsoft Onnxruntime CUDA BiasGeluGrad
- Implementation:Ollama Ollama XTools WebFetch
- Implementation:Scikit learn contrib Imbalanced learn SMOTETomek
- Implementation:Google deepmind Mujoco USD Tokens
- Implementation:Scikit learn Scikit learn PartialDependence
Heuristics
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:Openai Openai node RunTools Loop Limit
- Heuristic:Openai Openai python Warning Deprecated Eval Stored Completions
- Heuristic:Tensorflow Serving GPU Memory And CPU Optimization
- Heuristic:Allenai Open instruct BFloat16 Training
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
- Heuristic:SeldonIO Seldon core Model Scheduling Preference Tip
- Heuristic:Avhz RustQuant MC Parallel Path Threshold
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Haosulab ManiSkill Rendering Memory Optimization
Environments
- Environment:Lance format Lance Rust Toolchain
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Unstructured IO Unstructured Ingest CLI
- Environment:Spotify Luigi PostgreSQL Server
- Environment:Run llama Llama index Sentence Transformers Finetuning
- Environment:Sgl project Sglang CPU Runtime
- Environment:Microsoft BIPIA DeepSpeed Finetuning Environment
- Environment:BerriAI Litellm Observability Stack
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Princeton nlp SimPO VLLM Inference