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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:Openai Openai python Embeddings Generation
- Workflow:Bitsandbytes foundation Bitsandbytes 4bit QLoRA Inference
- Workflow:Microsoft Onnxruntime ORTModule Training
- Workflow:Helicone Helicone Cost Calculation Pipeline
- Workflow:Langchain ai Langgraph CLI Deployment
- Workflow:Unslothai Unsloth QLoRA SFT Finetuning
- Workflow:Neuml Txtai Semantic Search
- Workflow:Dagster io Dagster Dbt Integration
- Workflow:Haosulab ManiSkill RL Training with PPO
- Workflow:Ggml org Llama cpp Model Perplexity Evaluation
Principles
- Principle:Risingwavelabs Risingwave Sink Data Delivery
- Principle:Huggingface Datasets Pandas Dataset Building
- Principle:Sktime Pytorch forecasting DeepAR Model Instantiation
- Principle:Alibaba ROLL Distillation Validation
- Principle:Spcl Graph of thoughts Validation And Improvement
- Principle:Facebookresearch Audiocraft Finetuning Checkpoint Preparation
- Principle:Romsto Speculative Decoding Interactive CLI
- Principle:MarketSquare Robotframework browser API Test Context Setup
- Principle:LMCache LMCache VLLM KV Connector Integration
- Principle:HKUDS AI Trader A Share Data Fetching
Implementations
- Implementation:Spotify Luigi SalesforceAPI
- Implementation:Apache Shardingsphere PushDownMetaDataRefreshEngine Refresh
- Implementation:Pyro ppl Pyro Autoname Scoping
- Implementation:Lance format Lance LanceTableProvider
- Implementation:Scikit learn Scikit learn MetricsModule
- Implementation:Gretelai Gretel synthetics DGANConfig
- Implementation:Farama Foundation Gymnasium Vector NormalizeReward
- Implementation:FlowiseAI Flowise VerifyEmail
- Implementation:Getgauge Taiko Gauge Spec Format
- Implementation:Risingwavelabs Risingwave JniDbzSourceHandler RunJniDbzSourceThread
Heuristics
- Heuristic:Hiyouga LLaMA Factory Quantized Training Best Practices
- Heuristic:ContextualAI HALOs LoRA Merge At Save
- Heuristic:Tencent Ncnn Optimize Before Quantize
- Heuristic:Turboderp org Exllamav2 Quantization Conversion Tips
- Heuristic:MarketSquare Robotframework browser Windows Shell NPM Workaround
- Heuristic:Openclaw Openclaw Warning Suppression For Known Deprecations
- Heuristic:Intel Ipex llm DeepSpeed Tensor Parallel Tips
- Heuristic:Wandb Weave Payload Size Limits
- Heuristic:Langgenius Dify SSE Streaming Error Handling
- Heuristic:PeterL1n BackgroundMattingV2 Data Augmentation Strategy
Environments
- Environment:OpenRLHF OpenRLHF CUDA GPU Environment
- Environment:SeldonIO Seldon core Kubernetes Cluster Environment
- Environment:Vllm project Vllm CPU Runtime
- Environment:DataTalksClub Data engineering zoomcamp Kafka Confluent Environment
- Environment:EvolvingLMMs Lab Lmms eval Python Runtime Environment
- Environment:CrewAIInc CrewAI Python Runtime Environment
- Environment:Helicone Helicone Docker Compose Infrastructure
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment
- Environment:Groq Groq python Python Groq SDK
- Environment:TobikoData Sqlmesh Web UI Stack