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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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|---|---|---|
| Workflows | Step-by-step processes and procedures | Browse All |
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| Heuristics | Best practices and guidelines | Browse All |
| Environments | Setup and configuration guides | Browse All |
Explore Pages
Workflows
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Langfuse Langfuse Prompt management lifecycle
- Workflow:Infiniflow Ragflow Agent Workflow Building
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Ggml org Llama cpp LoRA Adapter Workflow
- Workflow:Openai Openai python Audio Processing
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:Avhz RustQuant Analytic Option Pricing
- Workflow:Dagster io Dagster LLM Fine Tuning
- Workflow:FlowiseAI Flowise Chatbot Deployment
Principles
- Principle:TA Lib Ta lib python Stream Validation
- Principle:Scikit learn Scikit learn Robust Regression
- Principle:Openai Openai python Embedding Result Processing
- Principle:Mbzuai oryx Awesome LLM Post training Category Taxonomy Definition
- Principle:Volcengine Verl LoRA Configuration
- Principle:Volcengine Verl RLHF Data Preparation
- Principle:Mlflow Mlflow Experiment Visualization
- Principle:Bitsandbytes foundation Bitsandbytes XPU Backend Operations
- Principle:Iterative Dvc Data Transfer Execution
- Principle:Axolotl ai cloud Axolotl Experiment Tracking Integration
Implementations
- Implementation:Farama Foundation Gymnasium Vector Rendering Wrappers
- Implementation:Mlflow Mlflow Get Deploy Client
- Implementation:Mage ai Mage ai Client Make Request
- Implementation:Eventual Inc Daft ResourceRequest
- Implementation:Bentoml BentoML Runner Utils
- Implementation:Allenai Open instruct Build All Verifiers
- Implementation:Microsoft Autogen Studio Auth Context
- Implementation:Trailofbits Fickling Get Stats
- Implementation:Langfuse Langfuse CreateEvalJobs
- Implementation:ArroyoSystems Arroyo Nats Connector
Heuristics
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Mlc ai Mlc llm Metal KV Cache Capacity Limit
- Heuristic:Liu00222 Open Prompt Injection Defense Strategy Selection
- Heuristic:OpenBMB UltraFeedback Principle Distribution Tuning
- Heuristic:Run llama Llama index Batch Eval Retry Strategy
- Heuristic:Protectai Modelscan Unknown Opcodes Assume Critical
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:Groq Groq python Timeout Configuration
- Heuristic:Turboderp org Exllamav2 Attention Backend Selection
- Heuristic:ThreeSR Awesome Inference Time Scaling API Rate Limiting Tip
Environments
- Environment:Eventual Inc Daft AI Provider Dependencies
- Environment:Marker Inc Korea AutoRAG API Keys And Credentials
- Environment:Huggingface Alignment handbook Python PEFT
- Environment:Open compass VLMEvalKit Python Runtime Environment
- Environment:Apache Shardingsphere Java Runtime Environment
- Environment:Sgl project Sglang CUDA GPU Runtime
- Environment:Kornia Kornia CUDA GPU Environment
- Environment:Infiniflow Ragflow Python Runtime
- Environment:Lance format Lance Python Environment
- Environment:Cohere ai Cohere python Cohere API Credentials