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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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| 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:Apache Kafka Release Candidate Staging
- Workflow:Microsoft Agent framework Multi Agent Concurrent Orchestration
- Workflow:Apache Beam Local Pipeline Execution
- Workflow:InternLM Lmdeploy LLM Offline Batch Inference
- Workflow:Alibaba MNN Stable Diffusion Deployment
- Workflow:Hiyouga LLaMA Factory DPO Preference Alignment
- Workflow:Protectai Llm guard LLM Input Output Scanning
- Workflow:Axolotl ai cloud Axolotl Full Finetuning Distributed
- Workflow:EvolvingLMMs Lab Lmms eval End to End Evaluation
- Workflow:Obss Sahi COCO Evaluation
Principles
- Principle:Ggml org Llama cpp Input Provenance Tracking
- Principle:Sktime Pytorch forecasting Samformer Architecture
- Principle:Kserve Kserve Canary Traffic Splitting
- Principle:LLMBook zh LLMBook zh github io Rotary Position Embedding
- Principle:Fastai Fastbook Language Model Fine Tuning
- Principle:Dotnet Machinelearning SSA Model Fitting
- Principle:Apache Druid Dimension Measure Configuration
- Principle:Huggingface Diffusers Memory Optimization
- Principle:Bentoml BentoML Deployment Termination
- Principle:Marker Inc Korea AutoRAG Evaluator Initialization
Implementations
- Implementation:Alibaba MNN SourceModule
- Implementation:Google deepmind Mujoco mjr readPixels
- Implementation:OpenRLHF OpenRLHF Blending datasets
- Implementation:FlagOpen FlagEmbedding MLVU Topic Reasoning Data
- Implementation:Ollama Ollama Imagegen MLX C
- Implementation:Apache Druid DruidSqlAceMode
- Implementation:Openai Openai node Browser Webpack Lockfile
- Implementation:Vespa engine Vespa Publish Artifacts Sh
- Implementation:Microsoft Semantic kernel AddOpenAIChatClient
- Implementation:Kserve Kserve Triton Runtime
Heuristics
- Heuristic:NVIDIA TransformerEngine FP8 Recipe Auto Selection
- Heuristic:Bigscience workshop Petals Prompt Embeddings Float32 Precision
- Heuristic:Unslothai Unsloth VLLM Memory Utilization
- Heuristic:Huggingface Peft DoRA Inference Caching
- Heuristic:Turboderp org Exllamav2 Paged Cache Configuration
- Heuristic:Unstructured IO Unstructured Strategy Fallback Chain
- Heuristic:VainF Torch Pruning Pruning Ratio vs Parameter Ratio
- Heuristic:ARISE Initiative Robosuite Observation Key Selection
- Heuristic:PeterL1n BackgroundMattingV2 Checkpoint Interval Tuning
- Heuristic:Infiniflow Ragflow Agent Max Rounds Strategy
Environments
- Environment:LLMBook zh LLMBook zh github io Data Processing Environment
- Environment:Marker Inc Korea AutoRAG Korean NLP Dependencies
- Environment:Sgl project Sglang CUDA Runtime
- Environment:Huggingface Optimum Accelerated Inference Environment
- Environment:Huggingface Datatrove Slurm Cluster Environment
- Environment:Huggingface Alignment handbook BitsAndBytes CUDA
- Environment:Langfuse Langfuse Redis 7 Queue Cache
- Environment:Speechbrain Speechbrain Multi GPU DDP
- Environment:Triton inference server Server GPU CUDA Runtime
- Environment:Mlfoundations Open flamingo PyTorch CUDA Distributed