Main Page
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.
Connect your AI coding agent. Plug Leeroopedia into your favorite coding agent, and let it build robust AI/ML systems autonomously:
- SuperML plugin — converts your AI coding agent into an expert ML engineer with agentic memory
- Leeroopedia MCP — search over best-practices and skills of ML/AI
- Kapso — experimentation platform for autonomous AI/ML software building
Browse by Category
| 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:Interpretml Interpret EBM Training And Prediction
- Workflow:Openai CLIP Prompt engineered classification
- Workflow:Allenai Open instruct SFT Finetuning
- Workflow:Huggingface Peft DreamBooth LoRA Diffusion
- Workflow:Getgauge Taiko Gauge Integration Testing
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
- Workflow:VainF Torch Pruning LLM Structural Pruning
- Workflow:Sail sg LongSpec GLIDE Draft Model Training
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Datahub project Datahub Metadata Ingestion Pipeline
Principles
- Principle:Alibaba ROLL Model Checkpointing
- Principle:Sail sg LongSpec VLLM Inference Client
- Principle:NVIDIA NeMo Aligner DPO Preference Data Preparation
- Principle:Anthropics Anthropic sdk python Multi turn Thinking Conversations
- Principle:Langchain ai Langchain Structured Output Extraction
- Principle:Online ml River Streaming ROCAUC
- Principle:Bigscience workshop Petals Inference Session Management
- Principle:Eric mitchell Direct preference optimization Concatenated Forward Pass
- Principle:AUTOMATIC1111 Stable diffusion webui Postprocessing input selection
- Principle:Googleapis Python genai File Upload
Implementations
- Implementation:Microsoft DeepSpeedExamples GptFinetuning AnalyzeData
- Implementation:NVIDIA NeMo Curator TransNetV2Model
- Implementation:Evidentlyai Evidently Column Metric Generator
- Implementation:Eventual Inc Daft Daft Sql
- Implementation:Open compass VLMEvalKit Cambrian
- Implementation:NVIDIA TransformerEngine Ops ReduceScatter
- Implementation:Avhz RustQuant SupershareOption
- Implementation:Interpretml Interpret Bridge
- Implementation:FlowiseAI Flowise OrgWorkspaceBreadcrumbs
- Implementation:SeldonIO Seldon core Hodometer Collect
Heuristics
- Heuristic:Lance format Lance Warning Deprecated Legacy Encodings
- Heuristic:Ray project Ray Serve Concurrency And Backpressure
- Heuristic:Eric mitchell Direct preference optimization RMSprop Over Adam
- Heuristic:Eric mitchell Direct preference optimization FSDP Mixed Precision BFloat16
- Heuristic:Apache Dolphinscheduler JDBC Security Blocklist
- Heuristic:Google research Deduplicate text datasets Ulimit File Descriptors For Merge
- Heuristic:Neuml Txtai LLM Context Window Fallback
- Heuristic:Microsoft DeepSpeedExamples Gradient Checkpointing Tradeoff
- Heuristic:Fastai Fastbook Discriminative Learning Rates
- Heuristic:Apache Airflow Scheduler Performance Tuning
Environments
- Environment:Junyanz Pytorch CycleGAN and pix2pix Python PyTorch Runtime
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Evidentlyai Evidently Node Frontend Environment
- Environment:Risingwavelabs Risingwave Dashboard Node Environment
- Environment:Huggingface Peft BitsAndBytes Quantization
- Environment:Norrrrrrr lyn WAInjectBench Conda Python 39 CUDA Environment
- Environment:NVIDIA TransformerEngine Python PyTorch Requirements
- Environment:Marker Inc Korea AutoRAG Japanese NLP Dependencies
- Environment:Mage ai Mage ai Python 3 9 Runtime
- Environment:Allenai Open instruct Beaker Cluster