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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:Huggingface Diffusers LoRA Finetuning
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:FMInference FlexLLMGen Text Completion API
- Workflow:Triton inference server Server LLM Deployment With TRT LLM
- Workflow:Vespa engine Vespa CI CD build pipeline
- Workflow:Deepset ai Haystack Hybrid Document Search
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Cleanlab Cleanlab CleanLearning Robust Training
- Workflow:Vllm project Vllm Structured Output Generation
- Workflow:Hpcaitech ColossalAI Distributed GRPO Training
Principles
- Principle:Nightwatchjs Nightwatch Custom Command Creation
- Principle:Treeverse LakeFS Periodic GC Scheduling
- Principle:MaterializeInc Materialize Catalog Exploration
- Principle:Helicone Helicone Legal Compliance
- Principle:Axolotl ai cloud Axolotl LoRA Adapter Injection
- Principle:Nautechsystems Nautilus trader External Data Loading
- Principle:Avhz RustQuant Cashflow Analysis
- Principle:Huggingface Datasets PyTorch Formatting
- Principle:ARISE Initiative Robosuite Texture Randomization
- Principle:Evidentlyai Evidently Snapshot Export
Implementations
- Implementation:LMCache LMCache Base Cache Policy
- Implementation:Alibaba MNN FlatBuffers Reflection Generated
- Implementation:Huggingface Datatrove JobsStatus
- Implementation:Pyro ppl Pyro LDA
- Implementation:Run llama Llama index Adapter Training Utils
- Implementation:BerriAI Litellm Prompt Caching Cache
- Implementation:Lm sys FastChat Optional Clean
- Implementation:SeleniumHQ Selenium Closure Formatter
- Implementation:Ollama Ollama Imagegen MLX Go
- Implementation:Ollama Ollama Clip Graph
Heuristics
- Heuristic:Astronomer Astronomer cosmos Cache Strategy Optimization
- Heuristic:DataExpert io Data engineer handbook Flink Checkpointing Interval Tuning
- Heuristic:Vespa engine Vespa Maven Parallel Build Optimization
- Heuristic:Sail sg LongSpec TF32 And FP16 Training
- Heuristic:Protectai Modelscan Graceful Scanner Degradation
- Heuristic:Haotian liu LLaVA Image Aspect Ratio Padding Strategy
- Heuristic:Nautechsystems Nautilus trader Cache Buffer Interval Tuning
- Heuristic:NVIDIA TransformerEngine FP8 Checkpoint Compatibility
- Heuristic:NVIDIA DALI Memory Pool Tuning
- Heuristic:Nightwatchjs Nightwatch Safari Parallel Limitation
Environments
- Environment:Intel Ipex llm Build Environment
- Environment:Predibase Lorax Model Source Credentials
- Environment:Snorkel team Snorkel PySpark
- Environment:Vllm project Vllm Distributed
- Environment:Langchain ai Langgraph Python Runtime Environment
- Environment:Explodinggradients Ragas LLM Provider Environment
- Environment:Huggingface Transformers Flash Attention 2 Env
- Environment:Recommenders team Recommenders GPU CUDA Environment
- Environment:Vllm project Vllm CUDA Runtime
- Environment:Sgl project Sglang CPU Runtime