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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:SeldonIO Seldon core Model Explainability
- Workflow:Mit han lab Llm awq AWQ Model Evaluation
- Workflow:Lance format Lance Version Management
- Workflow:HKUDS AI Trader Agent Decision Loop
- Workflow:Apache Dolphinscheduler RPC Service Communication
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:Snorkel team Snorkel Weak Supervision Pipeline
- Workflow:Alibaba ROLL Agentic RL Training Pipeline
- Workflow:Danijar Dreamerv3 Distributed Parallel Training
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
Principles
- Principle:Princeton nlp SimPO Preference Optimization
- Principle:Intel Ipex llm LLM Initialization LangChain
- Principle:Bentoml BentoML Bento Building
- Principle:Snorkel team Snorkel Label Quality Evaluation
- Principle:Apache Flink File Commit Finalization
- Principle:Interpretml Interpret EBM JSON Deserialization
- Principle:Triton inference server Server Dynamic Batching Testing
- Principle:EvolvingLMMs Lab Lmms eval HTTP API Model Serving
- Principle:Apache Beam Worker Initialization
- Principle:Shiyu coder Kronos Candlestick Data Preparation
Implementations
- Implementation:Ggml org Llama cpp Llama Adapter LoRA Init
- Implementation:OpenRLHF OpenRLHF Train PRM
- Implementation:Ollama Ollama Llama Model Qwen2MoE
- Implementation:Spotify Luigi LSFJobTask
- Implementation:Elevenlabs Elevenlabs python GetVoicesV2Response
- Implementation:Ollama Ollama Mtmd Whisper Encoder
- Implementation:Open compass VLMEvalKit MMHelix Kakuro Eval
- Implementation:CarperAI Trlx Reference Benchmark
- Implementation:Microsoft Onnxruntime CUDA Adasum
- Implementation:ARISE Initiative Robosuite PotWithHandles
Heuristics
- Heuristic:NVIDIA NeMo Curator GPU Memory Resource Allocation
- Heuristic:Ggml org Llama cpp Thread Count Tuning
- Heuristic:Puppeteer Puppeteer Timeout Hierarchy
- Heuristic:Mbzuai oryx Awesome LLM Post training Excel Sheet Name Truncation
- Heuristic:Marker Inc Korea AutoRAG One Dataset Per Project Directory
- Heuristic:Risingwavelabs Risingwave Source Backoff Strategy
- Heuristic:Kornia Kornia Morphology Engine Selection
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:Sgl project Sglang Attention Backend Selection
- Heuristic:Dotnet Machinelearning AutoML SMAC Dimension Limit
Environments
- Environment:FlowiseAI Flowise Database Environment
- Environment:Huggingface Alignment handbook Python Datasets
- Environment:Getgauge Taiko Docker Container
- Environment:Sgl project Sglang Kubernetes
- Environment:Hiyouga LLaMA Factory Distributed Training Environment
- Environment:Open compass VLMEvalKit Data Storage Environment
- Environment:NVIDIA NeMo Curator RAPIDS GPU Stack
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:NVIDIA DALI TensorFlow Environment
- Environment:ThreeSR Awesome Inference Time Scaling Git CLI Environment