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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 |
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Workflows
- Workflow:Langchain ai Langchain Adding Partner Integration
- Workflow:Webdriverio Webdriverio Custom Plugin Development
- Workflow:Unslothai Unsloth Vision Model Finetuning
- Workflow:Scikit learn Scikit learn Ensemble Model Building
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Cypress io Cypress Binary Build and Release
- Workflow:Testtimescaling Testtimescaling github io Automated Citation Tracking
- Workflow:Getgauge Taiko Headless Browser Testing
- Workflow:Run llama Llama index ReAct Agent
- Workflow:Triton inference server Server Quickstart Model Deployment
Principles
- Principle:Helicone Helicone Provider Dashboard Integration
- Principle:AUTOMATIC1111 Stable diffusion webui Hypernetwork deployment
- Principle:Zai org CogVideo VQVAE Architecture
- Principle:Bigscience workshop Petals Interactive Generation
- Principle:Wandb Weave Result Analysis
- Principle:FMInference FlexLLMGen Resource Cleanup
- Principle:PacktPublishing LLM Engineers Handbook Model Registry Validation
- Principle:Apache Beam Job Submission Twister2
- Principle:Romsto Speculative Decoding Ngram Storage
- Principle:Eric mitchell Direct preference optimization Tokenization
Implementations
- Implementation:NVIDIA TransformerEngine JAX Cpp Normalization
- Implementation:Open compass VLMEvalKit TextMCQDataset
- Implementation:Ray project Ray Metric Sum
- Implementation:Apache Paimon AuthFactory
- Implementation:Vllm project Vllm Scaled MM Epilogues C2X
- Implementation:Puppeteer Puppeteer NgSchematics Packages Util
- Implementation:Lance format Lance Java RewriteOp
- Implementation:DevExpress Testcafe Gulpfile
- Implementation:Pytorch Serve Llama2 Checkpoint Converter
- Implementation:Deepspeedai DeepSpeed ZeRO2 DeepCompile
Heuristics
- Heuristic:OpenHands OpenHands Fail Open Rate Limiting
- Heuristic:Lance format Lance IO Buffer And Batch Sizing
- Heuristic:Openai Openai agents python Tool Choice Reset Prevents Loops
- Heuristic:Princeton nlp Tree of thought llm Global State Token Counting
- Heuristic:ARISE Initiative Robosuite Domain Randomization Tuning
- Heuristic:CrewAIInc CrewAI Context Window Management
- Heuristic:Promptfoo Promptfoo WAL Mode Network Filesystem
- Heuristic:Openai Evals Thread Tuning
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Openai Openai node RunTools Loop Limit
Environments
- Environment:Sgl project Sglang Web
- Environment:Ggml org Llama cpp Metal GPU Environment
- Environment:Huggingface Datasets JAX Integration
- Environment:Microsoft Onnxruntime Sklearn Conversion Environment
- Environment:Vibrantlabsai Ragas LLM Provider Credentials
- Environment:Explodinggradients Ragas Optional Metrics Environment
- Environment:Bitsandbytes foundation Bitsandbytes CUDA GPU Runtime
- Environment:Google deepmind Mujoco C Build Environment
- Environment:MarketSquare Robotframework browser Docker Container
- Environment:Intel Ipex llm Pipeline Parallel Environment