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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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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:AUTOMATIC1111 Stable diffusion webui LoRA network application
- Workflow:Turboderp org Exllamav2 EXL2 Model Conversion
- Workflow:Tensorflow Tfjs Pretrained Model Conversion And Inference
- Workflow:Pytorch Serve HuggingFace Transformer Serving
- Workflow:Haifengl Smile Data Loading Pipeline
- Workflow:DistrictDataLabs Yellowbrick Model Selection and Tuning
- Workflow:Togethercomputer Together python Embeddings And Reranking
- Workflow:Promptfoo Promptfoo Custom Provider Integration
- Workflow:Apache Dolphinscheduler Workflow Failover Recovery
- Workflow:Apache Dolphinscheduler Datasource Plugin Development
Principles
- Principle:ClickHouse ClickHouse Poco JSON Templating
- Principle:Webdriverio Webdriverio Batching Pattern
- Principle:SeldonIO Seldon core Pipeline Deployment Execution
- Principle:Iterative Dvc Data Structure Utilities
- Principle:Hiyouga LLaMA Factory FP8 Mixed Precision
- Principle:Triton inference server Server Automated Profiling
- Principle:Ollama Ollama LLM Inference Pipeline
- Principle:Bitsandbytes foundation Bitsandbytes Paged Optimizer
- Principle:Apache Shardingsphere Statement Type Classification
- Principle:Datajuicer Data juicer Distributed Pipeline Execution
Implementations
- Implementation:Microsoft LoRA Run XNLI
- Implementation:Spcl Graph of thoughts Aggregate Operation
- Implementation:ArroyoSystems Arroyo Rpc Core
- Implementation:Triton inference server Server Classification
- Implementation:Ollama Ollama Imagegen Flux2 Transformer
- Implementation:Vllm project Vllm SM100 MLA Device
- Implementation:Mit han lab Llm awq Load awq llama fast
- Implementation:DevExpress Testcafe Runner Fluent API
- Implementation:ARISE Initiative Robosuite RobotiqThreeFingerGripper
- Implementation:Eventual Inc Daft DataFrame Count Rows
Heuristics
- Heuristic:Langchain ai Langgraph Retry Policy Configuration
- Heuristic:Eric mitchell Direct preference optimization FSDP Batch Size Per GPU
- Heuristic:Langchain ai Langgraph Checkpointer Selection Guide
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:OpenRLHF OpenRLHF Adam Offload Memory Tip
- Heuristic:Avdvg InjectGuard Dataset Coverage Recall Bound
- Heuristic:AnswerDotAI RAGatouille Collection Size Index Tuning
- Heuristic:Vespa engine Vespa KStemmer Dictionary Loading
- Heuristic:Huggingface Datasets Cache Fingerprinting Tips
- Heuristic:BerriAI Litellm Token Counting Buffer
Environments
- Environment:Microsoft Playwright Browser Binaries Environment
- Environment:Deepseek ai Janus JanusFlow Diffusers Environment
- Environment:TA Lib Ta lib python Python Build Environment
- Environment:Togethercomputer Together python Python SDK Runtime
- Environment:Vllm project Vllm AWS ECR
- Environment:Deepset ai Haystack Python Runtime Environment
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Tensorflow Tfjs Python Converter
- Environment:Protectai Modelscan TensorFlow Optional
- Environment:Mlc ai Mlc llm WebGPU Browser Environment