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1,118
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 Open r1 Reasoning Data Generation
- Workflow:Pyro ppl Pyro Bayesian Regression
- Workflow:Truera Trulens LangGraph Agent Evaluation
- Workflow:Pyro ppl Pyro VAE Training
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:SeleniumHQ Selenium Chrome DevTools Protocol Integration
- Workflow:ARISE Initiative Robosuite Gymnasium RL Integration
- Workflow:Helicone Helicone Integrate Provider To Gateway
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Bitsandbytes foundation Bitsandbytes FSDP QLoRA Distributed Training
Principles
- Principle:Pytorch Serve Label Mapping
- Principle:Alibaba ROLL Model Checkpointing
- Principle:Google deepmind Mujoco Engine Utilities
- Principle:Mage ai Mage ai Record Validation and Batching
- Principle:Trailofbits Fickling File Corruption Detection
- Principle:Testtimescaling Testtimescaling github io Event Driven Step Progression
- Principle:Lm sys FastChat Battle Data Cleaning
- Principle:PrefectHQ Prefect Task Retry
- Principle:FMInference FlexLLMGen Model Weight Downloading
- Principle:SeldonIO Seldon core Production Traffic Monitoring
Implementations
- Implementation:Lance format Lance TakeBench
- Implementation:Tensorflow Serving Server Core Test
- Implementation:Ggml org Llama cpp Convert LoRA To GGUF
- Implementation:Cohere ai Cohere python HttpResponse
- Implementation:Neuml Txtai Named Entity Recognition
- Implementation:LMCache LMCache CacheGen Decoder
- Implementation:Microsoft Autogen Studio Component Templates
- Implementation:SeldonIO Seldon core Seldon Model Status Explainer
- Implementation:AUTOMATIC1111 Stable diffusion webui Run modelmerger
- Implementation:Kserve Kserve InferenceGraph CRD Spec
Heuristics
- Heuristic:Alibaba ROLL Numerical Stability Epsilon
- Heuristic:OWASP Www project top 10 for large language model applications SHA Pinning For GitHub Actions
- Heuristic:Isaac sim IsaacGymEnvs Factory Velocity Limits
- Heuristic:Google deepmind Dm control Physics Timestep Configuration
- Heuristic:Microsoft Autogen Parallel Tool Call Safety
- Heuristic:DistrictDataLabs Yellowbrick Model Fitted State Detection
- Heuristic:FlagOpen FlagEmbedding Dynamic Batch Size Reduction
- Heuristic:Deepset ai Haystack Embedding Batch Size And Prefix
- Heuristic:Mlc ai Mlc llm GPU Memory Budget Tuning
- Heuristic:Sgl project Sglang Memory Fraction Tuning
Environments
- Environment:Mlflow Mlflow Python Runtime Environment
- Environment:Elevenlabs Elevenlabs python Python Websockets
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Anthropics Anthropic sdk python Azure Foundry Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Pyro ppl Pyro Distributed Training
- Environment:Haosulab ManiSkill Motion Planning Deps
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Vllm project Vllm NVIDIA CUDA
- Environment:Microsoft Onnxruntime Python Inference Environment