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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:Datahub project Datahub Java SDK Metadata Emission
- Workflow:HKUDS AI Trader Multi Agent Comparison
- Workflow:Hiyouga LLaMA Factory LoRA SFT Finetuning
- Workflow:Kornia Kornia Edge Detection Pipeline
- Workflow:Vespa engine Vespa Linguistics text processing pipeline
- Workflow:Junyanz Pytorch CycleGAN and pix2pix Pretrained Inference
- Workflow:Microsoft Onnxruntime Distributed Model Training
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:MaterializeInc Materialize Docker Image Build
- Workflow:Roboflow Rf detr Custom Dataset Finetuning
Principles
- Principle:Farama Foundation Gymnasium Video Recording
- Principle:CARLA simulator Carla Unreal Engine Build
- Principle:Huggingface Diffusers Prompt Encoding
- Principle:Dagster io Dagster Incremental Processing
- Principle:Pola rs Polars Input Data Preparation
- Principle:OpenRLHF OpenRLHF SFT Dataset Construction
- Principle:Pytorch Serve vLLM Model Configuration
- Principle:Interpretml Interpret Data Exploration
- Principle:Vllm project Vllm Speculative Engine Initialization
- Principle:Farama Foundation Gymnasium MuJoCo Locomotion
Implementations
- Implementation:Unstructured IO Unstructured BaseEmbeddingEncoder
- Implementation:Google deepmind Mujoco MJWarp Passive
- Implementation:InternLM Lmdeploy Daily Ete Test
- Implementation:Run llama Llama index MistralAIFinetuneEngine
- Implementation:ArroyoSystems Arroyo Confluent Connector
- Implementation:Infiniflow Ragflow RetrievalDocuments Component
- Implementation:Arize ai Phoenix Legacy Templates
- Implementation:Predibase Lorax Strategy Registry
- Implementation:Run llama Llama index BaseSelector
- Implementation:Mlc ai Mlc llm Text Streamer
Heuristics
- Heuristic:Volcengine Verl Sequence Length Balancing
- Heuristic:Ray project Ray Graceful Shutdown Timing
- Heuristic:Iamhankai Forest of Thought UCB Exploration Constant
- Heuristic:FMInference FlexLLMGen Pin Memory Tradeoffs
- Heuristic:Sdv dev SDV HMA Schema Simplification
- Heuristic:Sktime Pytorch forecasting Gradient Clipping Value
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Dagster io Dagster Retry Strategy Configuration
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
Environments
- Environment:Pola rs Polars Cloud Storage Environment
- Environment:Alibaba ROLL SGLang Inference Environment
- Environment:Huggingface Datasets JAX Integration
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:SeleniumHQ Selenium Selenium Manager Runtime
- Environment:Interpretml Interpret Blackbox Explainer Dependencies
- Environment:Eventual Inc Daft Ray Distributed Runner
- Environment:Intel Ipex llm RAG LangChain Environment
- Environment:Run llama Llama index OpenAI API Configuration
- Environment:Spotify Luigi Apache Spark