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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:Isaac sim IsaacGymEnvs Custom Task Development
- Workflow:Mistralai Client python Finetuning Job Management
- Workflow:Zai org CogVideo Video Captioning
- Workflow:Deepspeedai DeepSpeed ZeRO Distributed Training
- Workflow:Explodinggradients Ragas Test Data Generation
- Workflow:Anthropics Anthropic sdk python Cloud Provider Deployment
- Workflow:Kornia Kornia ONNX Model Pipeline
- Workflow:Ucbepic Docetl Playground Interactive Development
- Workflow:EvolvingLMMs Lab Lmms eval End to End Evaluation
- Workflow:TobikoData Sqlmesh Github CICD automation
Principles
- Principle:Webdriverio Webdriverio Local Tunnel Connectivity
- Principle:NVIDIA NeMo Curator MinHash Signature Computation
- Principle:Sktime Pytorch forecasting Residual Connection
- Principle:Huggingface Datasets Struct Flattening
- Principle:Isaac sim IsaacGymEnvs Environment Creation
- Principle:BerriAI Litellm Cache Lookup
- Principle:Triton inference server Server SageMaker Integration
- Principle:Ollama Ollama GGUF Model Conversion DeepSeekOcr
- Principle:Triton inference server Server Tracing Testing
- Principle:Ggml org Llama cpp Text Processing
Implementations
- Implementation:Huggingface Datatrove TokenizerUtils
- Implementation:Datahub project Datahub ProtobufDataset Builder
- Implementation:Microsoft Semantic kernel IKernelBuilder Build
- Implementation:Scikit learn Scikit learn Train Test Split
- Implementation:Lance format Lance LanceCrateRoot
- Implementation:Cleanlab Cleanlab Spurious Correlation Detection
- Implementation:Kubeflow Kubeflow Model Registry API
- Implementation:Lm sys FastChat Train LoRA T5
- Implementation:TobikoData Sqlmesh FactoryEdgeWithGradient
- Implementation:Huggingface Trl PPOTrainer Save Generate
Heuristics
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:EvolvingLMMs Lab Lmms eval Limit Flag Testing Only
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Marker Inc Korea AutoRAG One Dataset Per Project Directory
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Apache Druid Sampler Limitations And Workarounds
- Heuristic:Duckdb Duckdb PR Submission Strategy
- Heuristic:DataExpert io Data engineer handbook Watermark Late Arrival Tolerance
- Heuristic:NVIDIA DALI Distributed Sharding Strategy
Environments
- Environment:Google deepmind Dm control EGL Headless Rendering
- Environment:Microsoft Agent framework Python 3 10 Runtime
- Environment:OpenRLHF OpenRLHF vLLM Environment
- Environment:Apache Beam Dataflow Streaming Runtime
- Environment:OpenGVLab InternVL PyTorch CUDA
- Environment:LMCache LMCache VLLM Serving Engine
- Environment:Infiniflow Ragflow Frontend Node Environment
- Environment:Dagster io Dagster Python 3 10 Runtime
- Environment:Mlc ai Mlc llm WebGPU Browser Environment
- Environment:Sgl project Sglang Kubernetes