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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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|---|---|---|
| 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:Explodinggradients Ragas Test Data Generation
- Workflow:Cohere ai Cohere python Chat Completion
- Workflow:Huggingface Datasets Hub Publishing
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Online ml River Time Series Forecasting
- Workflow:Obss Sahi COCO Evaluation
- Workflow:Mistralai Client python Streaming Chat Completion
- Workflow:Kornia Kornia Differentiable Image Augmentation
- Workflow:FlagOpen FlagEmbedding Embedder Finetuning
- Workflow:Isaac sim IsaacGymEnvs RL Policy Training
Principles
- Principle:Langchain ai Langgraph Docker Deployment
- Principle:Langfuse Langfuse S3 Payload Upload
- Principle:DataExpert io Data engineer handbook Scalar UDF Enrichment
- Principle:Turboderp org Exllamav2 Tokenizer Initialization
- Principle:Guardrails ai Guardrails Stream Result Handling
- Principle:Axolotl ai cloud Axolotl Experiment Tracking Integration
- Principle:Cypress io Cypress Headless Test Execution
- Principle:Alibaba ROLL MCoreAdapter Model Factory
- Principle:SqueezeAILab ETS Answer Normalization And Grading
- Principle:Risingwavelabs Risingwave Batch Query Serving
Implementations
- Implementation:ARISE Initiative Robosuite TransformUtils
- Implementation:InternLM Lmdeploy DataType
- Implementation:Hiyouga LLaMA Factory DPO Workflow
- Implementation:Google deepmind Mujoco MJWarp Inverse
- Implementation:Zai org CogVideo DiagonalGaussianDistribution
- Implementation:Deepspeedai DeepSpeed Evoformer GEMM Utils
- Implementation:Ggml org Llama cpp RAII Pointers
- Implementation:Rapidsai Cuml Breast Cancer Dataset
- Implementation:Spcl Graph of thoughts ValidateAndImprove Operation
- Implementation:Intel Ipex llm LISA Finetuning
Heuristics
- Heuristic:LaurentMazare Tch rs Device Fallback Pattern
- Heuristic:Cohere ai Cohere python Embed Auto Batching Strategy
- Heuristic:ClickHouse ClickHouse Jemalloc Production Requirement
- Heuristic:Mlc ai Mlc llm Optimization Level Selection
- Heuristic:Openai Whisper Median Word Duration Clamping
- Heuristic:Bentoml BentoML Thread Env Vars Setting
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
- Heuristic:Huggingface Diffusers LoRA Safe Fusing
- Heuristic:ChenghaoMou Text dedup Bloom Filter Single Process
- Heuristic:Danijar Dreamerv3 Symlog TwoHot Prediction
Environments
- Environment:Axolotl ai cloud Axolotl Multi GPU
- Environment:Apache Airflow Development Contributor Environment
- Environment:ArroyoSystems Arroyo Webui Runtime
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:ARISE Initiative Robomimic PyTorch CUDA Environment
- Environment:Kserve Kserve Kubernetes Cluster
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Sgl project Sglang OpenAI
- Environment:Haotian liu LLaVA Python CUDA Training Environment
- Environment:LLMBook zh LLMBook zh github io Bitsandbytes Quantization Environment