Main Page
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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:ThreeSR Awesome Inference Time Scaling Automated Paper Addition
- Workflow:Haotian liu LLaVA LoRA Finetuning
- Workflow:Fastai Fastbook Collaborative Filtering
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Sdv dev SDV Sequential data synthesis
- Workflow:Rapidsai Cuml Dimensionality Reduction
- Workflow:Groq Groq python Text Embedding
- Workflow:Sktime Pytorch forecasting DeepAR Probabilistic Forecasting
- Workflow:TobikoData Sqlmesh Plan and apply deployment
- Workflow:Haotian liu LLaVA Web Demo Deployment
Principles
- Principle:Infiniflow Ragflow Deployment Prerequisites
- Principle:Rapidsai Cuml Spectral Methods
- Principle:Ggml org Llama cpp Server Configuration
- Principle:Vespa engine Vespa Tokenization
- Principle:FlowiseAI Flowise Execution Monitoring
- Principle:Lance format Lance Text Data Preparation
- Principle:Open compass VLMEvalKit API Model Inference
- Principle:Langgenius Dify Service Orchestration
- Principle:Cypress io Cypress CI Parallelization
- Principle:Tensorflow Serving Batch Scheduling Configuration
Implementations
- Implementation:Anthropics Anthropic sdk python Message Response
- Implementation:Huggingface Peft GraloraModel
- Implementation:Huggingface Datatrove TokenStats
- Implementation:Ggml org Llama cpp Perplexity Function
- Implementation:Alibaba MNN MNNConvert Weight Quant
- Implementation:Bentoml BentoML BuildKit Backend
- Implementation:Mlc ai Mlc llm Phi Model
- Implementation:CrewAIInc CrewAI RAG Directory Loader
- Implementation:Puppeteer Puppeteer WebWorker
- Implementation:Kubeflow Pipelines XGBoost Cross Format Predict
Heuristics
- Heuristic:Haosulab ManiSkill Initial Pose Performance
- Heuristic:Pola rs Polars Streaming For Large Datasets
- Heuristic:Getgauge Taiko Implicit Wait Tuning
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
- Heuristic:DevExpress Testcafe MacOS Browser Launch Serialization
- Heuristic:Interpretml Interpret EBM Hyperparameter Tuning Guide
- Heuristic:Iterative Dvc YAML Dual Parser Strategy
- Heuristic:Openai Whisper SDPA Disabling For Attention Extraction
- Heuristic:Testtimescaling Testtimescaling github io Dual JSON Sync
- Heuristic:Deepspeedai DeepSpeed Vocabulary Tensor Core Alignment
Environments
- Environment:Speechbrain Speechbrain HuggingFace Transformers
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:Microsoft Onnxruntime Python Inference Environment
- Environment:Webdriverio Webdriverio Node Runtime Environment
- Environment:AUTOMATIC1111 Stable diffusion webui Xformers Attention
- Environment:Sktime Pytorch forecasting Optuna Tuning Dependencies
- Environment:Apache Shardingsphere Etcd Cluster Coordination
- Environment:Vibrantlabsai Ragas Python 3 9 Core Environment
- Environment:Openclaw Openclaw Docker Deployment Environment
- Environment:Nightwatchjs Nightwatch BrowserStack Cloud