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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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Browse by Category
| 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:Langchain ai Langgraph ReAct Agent Creation
- Workflow:Scikit learn contrib Imbalanced learn SMOTE Resampling Pipeline
- Workflow:Haifengl Smile Matrix Decomposition Pipeline
- Workflow:Microsoft Playwright Browser automation CLI
- Workflow:Kornia Kornia Image Stitching Panorama
- Workflow:Trailofbits Fickling Safe ML Model Loading
- Workflow:Open compass VLMEvalKit Adding Custom VLM
- Workflow:ClickHouse ClickHouse Building From Source
- Workflow:Explodinggradients Ragas LLM Benchmarking
- Workflow:FMInference FlexLLMGen Data Wrangling Batch Inference
Principles
- Principle:Triton inference server Server Automated Profiling
- Principle:Apache Flink Hybrid Source Initialization
- Principle:Marker Inc Korea AutoRAG Pipeline Runner Initialization
- Principle:Microsoft Playwright Launch Codegen
- Principle:AUTOMATIC1111 Stable diffusion webui SD3 Text Conditioning Pipeline
- Principle:Google deepmind Mujoco Rendering Resource Cleanup
- Principle:Lance format Lance Full Text Query Execution
- Principle:OpenRLHF OpenRLHF Direct Preference Optimization
- Principle:Microsoft Agent framework Custom Aggregation Pattern
- Principle:SeldonIO Seldon core Production Traffic Monitoring
Implementations
- Implementation:Langgenius Dify Debug Models
- Implementation:Cohere ai Cohere python ChatMessageV2 Union
- Implementation:Haosulab ManiSkill BaseEnv Step Reset
- Implementation:FlowiseAI Flowise EvaluationResultSideDrawer
- Implementation:Scikit learn Scikit learn MetadataRequests
- Implementation:AUTOMATIC1111 Stable diffusion webui Train embedding
- Implementation:CARLA simulator Carla AckermannControllerSettings
- Implementation:Neuml Txtai Pooling Base
- Implementation:Langfuse Langfuse API Dataset Items Schema
- Implementation:Obss Sahi Slice Coco
Heuristics
- Heuristic:Dotnet Machinelearning Sparsity Threshold Optimization
- Heuristic:Microsoft Semantic kernel Function Choice Behavior Selection
- Heuristic:SeleniumHQ Selenium FindElements For Absence Check
- Heuristic:Unslothai Unsloth Merge Memory Management
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:Langfuse Langfuse BullMQ Retry Strategy Patterns
- Heuristic:Fede1024 Rust rdkafka Librdkafka Debug Logging
- Heuristic:Langgenius Dify Credential Sanitization In API Responses
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Haosulab ManiSkill Initial Pose Performance
Environments
- Environment:Alibaba MNN ARM Mobile Environment
- Environment:SeleniumHQ Selenium Grid Deployment Environment
- Environment:Lm sys FastChat GPU CUDA Inference
- Environment:Allenai Open instruct Python 3 12 Runtime
- Environment:Ggml org Ggml C Cpp Build Environment
- Environment:Mlc ai Mlc llm OpenCL Android Environment
- Environment:Dotnet Machinelearning TorchSharp Environment
- Environment:Norrrrrrr lyn WAInjectBench External Repos Dependencies
- Environment:Explodinggradients Ragas Python Runtime Environment
- Environment:Vespa engine Vespa Docker OCI Container Runtime