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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 Spark Standalone Cluster Deployment
- Workflow:Huggingface Peft Seq2Seq AdaLoRA Finetuning
- Workflow:PacktPublishing LLM Engineers Handbook Digital Data ETL
- Workflow:Openai Openai node Streaming To Client
- Workflow:VainF Torch Pruning Object Detection Pruning
- Workflow:Microsoft Semantic kernel Vector Store RAG Pipeline
- Workflow:ARISE Initiative Robosuite Teleoperation
- Workflow:Facebookresearch Audiocraft Model Export And Deployment
- Workflow:Huggingface Open r1 Dataset Pass Rate Filtering
- Workflow:Hiyouga LLaMA Factory Model Inference and Serving
Principles
- Principle:Treeverse LakeFS Import Source Preparation
- Principle:Alibaba ROLL Agentic Advantage Estimation
- Principle:Microsoft Onnxruntime On Device Training Loop
- Principle:Danijar Dreamerv3 Data Collection And Training
- Principle:Scikit learn Scikit learn Regression Metrics
- Principle:Bigscience workshop Petals Prompt Tuning
- Principle:Microsoft Agent framework Human in the Loop Request
- Principle:Predibase Lorax Adapter Merge Strategies
- Principle:Langchain ai Langgraph Edge Configuration
- Principle:Scikit learn contrib Imbalanced learn Combined Over Under Sampling
Implementations
- Implementation:BerriAI Litellm Sensitive Data Masker
- Implementation:Haosulab ManiSkill Pose
- Implementation:Mit han lab Llm awq NVILA Benchmark
- Implementation:SeldonIO Seldon core Transformers Pipeline Save Pretrained
- Implementation:Openai Openai agents python ItemHelpers
- Implementation:AUTOMATIC1111 Stable diffusion webui Hypertile Optimization
- Implementation:Apache Druid Kubernetes Operator Main
- Implementation:EvolvingLMMs Lab Lmms eval SciBench Utils
- Implementation:Tensorflow Serving StreamingBatchScheduler
- Implementation:Teamcapybara Capybara Capybara Add Selector
Heuristics
- Heuristic:EvolvingLMMs Lab Lmms eval Request Caching Strategy
- Heuristic:SqueezeAILab ETS Thread Parallelism Suppression
- Heuristic:TA Lib Ta lib python NaN Propagation Behavior
- Heuristic:Intel Ipex llm Use Cache Training Vs Inference
- Heuristic:Mage ai Mage ai Sorted Data Bookmark Strategy
- Heuristic:Liu00222 Open Prompt Injection PPL Threshold Tuning
- Heuristic:BerriAI Litellm Batch Size Flush Interval Tuning
- Heuristic:Mbzuai oryx Awesome LLM Post training Reference Citation Cap 200
- Heuristic:BerriAI Litellm Cooldown Threshold Tuning
- Heuristic:Snorkel team Snorkel Precision Init Prior
Environments
- Environment:Lucidrains X transformers Python Environment
- Environment:Onnx Onnx Python Runtime Environment
- Environment:Zai org CogVideo Diffusers Finetuning Environment
- Environment:FlagOpen FlagEmbedding GPU Accelerator Environment
- Environment:Gretelai Gretel synthetics PyTorch CUDA Environment
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:CARLA simulator Carla Simulation Runtime
- Environment:TobikoData Sqlmesh Snowflake Connection
- Environment:Bentoml BentoML Triton Inference Server
- Environment:NVIDIA TransformerEngine CUDA Toolkit Requirements