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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:Eric mitchell Direct preference optimization DPO Preference Training
- Workflow:Apache Druid SQL Based Data Ingestion
- Workflow:Vespa engine Vespa Document indexing pipeline
- Workflow:Evidentlyai Evidently Data Drift Monitoring
- Workflow:Nautechsystems Nautilus trader Live trading deployment
- Workflow:OWASP Www project top 10 for large language model applications Vulnerability Entry Development
- Workflow:Wandb Weave Tracing Setup
- Workflow:Testtimescaling Testtimescaling github io Adding a New Paper
- Workflow:Langgenius Dify Workflow Builder and Execution
- Workflow:InternLM Lmdeploy LLM API Server Deployment
Principles
- Principle:Datahub project Datahub Agent Deployment
- Principle:Triton inference server Server QA Shell Test Infrastructure
- Principle:FlagOpen FlagEmbedding LLM Representation Learning
- Principle:EvolvingLMMs Lab Lmms eval Data Sharding
- Principle:Alibaba ROLL Vocabulary Parallel Computation
- Principle:SeldonIO Seldon core Production Traffic Monitoring
- Principle:Webdriverio Webdriverio UtilityPattern
- Principle:Testtimescaling Testtimescaling github io Paper Relevance Assessment
- Principle:Fede1024 Rust rdkafka Consumer Creation With Context
- Principle:Lance format Lance Version Cleanup
Implementations
- Implementation:Vllm project Vllm CPU SHM
- Implementation:AUTOMATIC1111 Stable diffusion webui Hypernetwork and HypernetworkModule
- Implementation:Datajuicer Data juicer Config All Yaml
- Implementation:FlowiseAI Flowise AudioWaveform
- Implementation:Recommenders team Recommenders K8s Utils
- Implementation:Online ml River Stats Maximum
- Implementation:Open compass VLMEvalKit StepAPI INT
- Implementation:Deepspeedai DeepSpeed Evoformer LogSumExp
- Implementation:Risingwavelabs Risingwave BackPressure Utils
- Implementation:Apache Druid DestinationForm
Heuristics
- Heuristic:Vllm project Vllm Attention Backend Selection
- Heuristic:Apache Spark Build Fallback Strategies
- Heuristic:Cohere ai Cohere python Tokenizer Cache With TTL
- Heuristic:AUTOMATIC1111 Stable diffusion webui Cross Attention Memory Slicing
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix CuDNN Benchmark Scale Width
- Heuristic:PeterL1n BackgroundMattingV2 Mixed Precision Training
- Heuristic:Ggml org Llama cpp Context Size Alignment
- Heuristic:Triton inference server Server Dynamic Batching Tuning
- Heuristic:Hiyouga LLaMA Factory Mixed Precision Training Tips
- Heuristic:Farama Foundation Gymnasium Seeding Determinism Best Practices
Environments
- Environment:Kserve Kserve Cert Manager
- Environment:Allenai Open instruct vLLM Inference
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Datahub project Datahub Docker Quickstart Environment
- Environment:Dotnet Machinelearning Platform Architecture Support
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Haifengl Smile Quarkus Serve Environment
- Environment:Astronomer Astronomer cosmos Cosmos Airflow Configuration
- Environment:Vllm project Vllm GitHub
- Environment:Anthropics Anthropic sdk python AWS Bedrock Environment