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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 Datatrove FineWeb Dataset Creation
- Workflow:Mlc ai Web llm Chrome Extension Integration
- Workflow:Cleanlab Cleanlab Multiannotator Consensus
- Workflow:ARISE Initiative Robomimic Trained Policy Evaluation
- Workflow:Deepspeedai DeepSpeed Inference Engine Optimization
- Workflow:Neuml Txtai Model Training
- Workflow:Explodinggradients Ragas LLM Benchmarking
- Workflow:Intel Ipex llm Pipeline Parallel Inference
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:NVIDIA DALI Object Detection Training TensorFlow
Principles
- Principle:Heibaiying BigData Notes HBase Table Creation
- Principle:Onnx Onnx Output Dimension Expansion
- Principle:Ollama Ollama Model Loading
- Principle:Explodinggradients Ragas Framework Message Conversion
- Principle:Bitsandbytes foundation Bitsandbytes XPU SYCL Dequantization
- Principle:Pytorch Serve Semantic Segmentation
- Principle:Apache Beam Pipeline Translation Twister2
- Principle:Anthropics Anthropic sdk python SDK Infrastructure
- Principle:Huggingface Trl Reward Preference Dataset Loading
- Principle:Mistralai Client python SDK Installation
Implementations
- Implementation:Vllm project Vllm Scaled MM Epilogues C3X
- Implementation:Neuml Txtai RAG Init
- Implementation:Neuml Txtai HFPipeline
- Implementation:ArroyoSystems Arroyo Filesystem Source
- Implementation:Open compass VLMEvalKit Kosmos2
- Implementation:FlagOpen FlagEmbedding Reinforced IR Generate Universal Query
- Implementation:Openai Openai node ResponseStream
- Implementation:Open compass VLMEvalKit ChartQAPro Utils
- Implementation:Google deepmind Mujoco MJWarp Derivative
- Implementation:Dagster io Dagster OpenAI Fine Tuning Pattern
Heuristics
- Heuristic:Cypress io Cypress V8 Snapshot Memory
- Heuristic:Openai Evals Thread Tuning
- Heuristic:LMCache LMCache Memory Fragmentation Budget
- Heuristic:Bigscience workshop Petals Short Inference Pool Merging
- Heuristic:Run llama Llama index Evaluator LLM Selection
- Heuristic:Ggml org Ggml Sampling Parameter Defaults
- Heuristic:Nautechsystems Nautilus trader Parquet Row Group Tuning
- Heuristic:Arize ai Phoenix Warning Deprecated HallucinationEvaluator
- Heuristic:Kubeflow Kubeflow Kustomize Build Pipe Apply Pattern
- Heuristic:Facebookresearch Habitat lab VER Tuning Guidelines
Environments
- Environment:Truera Trulens Streamlit Dashboard Environment
- Environment:EvolvingLMMs Lab Lmms eval GPU Compute Environment
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Neuml Txtai Python Core Dependencies
- Environment:Isaac sim IsaacGymEnvs Python CUDA Runtime
- Environment:TA Lib Ta lib python TA Lib C Library
- Environment:Dotnet Machinelearning Native Build Toolchain
- Environment:Wandb Weave Python SDK Runtime
- Environment:Microsoft Onnxruntime Nodejs Runtime Environment
- Environment:Cleanlab Cleanlab Python Core Environment