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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 |
Explore Pages
Workflows
- Workflow:Helicone Helicone LLM Request Proxy Logging
- Workflow:Haifengl Smile Nearest Neighbor Search
- Workflow:OWASP Www project top 10 for large language model applications Agentic Security Assessment
- Workflow:Deepspeedai DeepSpeed AutoTP Training
- Workflow:FlagOpen FlagEmbedding Benchmark Evaluation
- Workflow:Langfuse Langfuse Trace ingestion pipeline
- Workflow:Astronomer Astronomer cosmos Watcher execution mode
- Workflow:Duckdb Duckdb Building From Source
- Workflow:Trailofbits Fickling Pickle Safety Analysis
- Workflow:Intel Ipex llm RAG With LangChain
Principles
- Principle:OpenGVLab InternVL Vision Language Projection
- Principle:Ollama Ollama ImageGeneration
- Principle:Open compass VLMEvalKit Benchmark Dataset Construction
- Principle:Truera Trulens Records And Feedback Query
- Principle:Axolotl ai cloud Axolotl Model Saving
- Principle:Unstructured IO Unstructured OpenAI Embedding
- Principle:Datajuicer Data juicer Partition Size Optimization
- Principle:Ggml org Ggml RAII Resource Management
- Principle:Groq Groq python Binary Response Handling
- Principle:Marker Inc Korea AutoRAG Node Line Evaluation
Implementations
- Implementation:Huggingface Diffusers Quantized Pipeline Call
- Implementation:Facebookresearch Habitat lab StaticManipulator
- Implementation:Huggingface Datasets Get Dataset Config Info
- Implementation:Datajuicer Data juicer ImageDiffusionMapper
- Implementation:ClickHouse ClickHouse ArithmeticOverflow
- Implementation:Datahub project Datahub RestEmitter
- Implementation:Hpcaitech ColossalAI Checkpoint IO
- Implementation:ARISE Initiative Robosuite Collect Human Trajectory
- Implementation:Ucbepic Docetl Count Tokens
- Implementation:Open compass VLMEvalKit molmo
Heuristics
- Heuristic:Dotnet Machinelearning Numerical Stability Guards
- Heuristic:Unslothai Unsloth Merge Memory Management
- Heuristic:Norrrrrrr lyn WAInjectBench Zero Vector Fallback Failed Embeddings
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:Facebookresearch Habitat lab DDPPO Straggler Preemption
- Heuristic:Fastai Fastbook Weight Decay Tuning
- Heuristic:Fede1024 Rust rdkafka Main Queue Poll Interval
- Heuristic:Bentoml BentoML Warning Deprecated Runner Class
- Heuristic:Langchain ai Langchain Warning Deprecated Langchain Classic
- Heuristic:LLMBook zh LLMBook zh github io Reward Model LM Regularization
Environments
- Environment:Unstructured IO Unstructured OpenAI API
- Environment:Hiyouga LLaMA Factory Core Python GPU Environment
- Environment:DataTalksClub Data engineering zoomcamp Dlt BigQuery Environment
- Environment:Huggingface Datatrove IO Dependencies
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:Apache Druid Web Console Development
- Environment:ThreeSR Awesome Inference Time Scaling Semantic Scholar API Environment
- Environment:Microsoft Autogen Python Runtime Environment
- Environment:Google deepmind Dm control OSMesa Software Rendering
- Environment:Junyanz Pytorch CycleGAN and pix2pix DDP Multi GPU