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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:CrewAIInc CrewAI Crew Training And Testing
- Workflow:Promptfoo Promptfoo CI CD Integration
- Workflow:Mistralai Client python Function Calling
- Workflow:Neuml Txtai Pipeline Workflow Chaining
- Workflow:Mit han lab Llm awq AWQ Model Quantization
- Workflow:Avdvg InjectGuard Vector Similarity Detection Pipeline
- Workflow:DevExpress Testcafe Basic Test Authoring
- Workflow:Open compass VLMEvalKit Image Benchmark Evaluation
- Workflow:NVIDIA TransformerEngine Comm GEMM Overlap Training
- Workflow:Microsoft Agent framework Basic Agent Creation
Principles
- Principle:Fede1024 Rust rdkafka Async Message Production
- Principle:Isaac sim IsaacGymEnvs Runtime Randomization
- Principle:Vllm project Vllm Structured Output Engine Initialization
- Principle:Microsoft Agent framework Handler Declaration
- Principle:Microsoft Agent framework Agent Factory Configuration
- Principle:Mage ai Mage ai HTTP Client Request
- Principle:BerriAI Litellm Integration Selection
- Principle:Openai CLIP Model Loading
- Principle:Ollama Ollama GGUF Model Conversion Llama4
- Principle:Eric mitchell Direct preference optimization SFT Checkpoint Loading
Implementations
- Implementation:Huggingface Datasets Get Dataset Config Names
- Implementation:Spcl Graph of thoughts DocMergeParser
- Implementation:Pyro ppl Pyro Constraints
- Implementation:Lm sys FastChat Build Side By Side Arena Named UI
- Implementation:Datahub project Datahub OpenLineageToDataHub
- Implementation:Openai Openai python Response Compaction Item
- Implementation:Pyro ppl Pyro MCMC Summary
- Implementation:Isaac sim IsaacGymEnvs Rotation3D
- Implementation:ClickHouse ClickHouse TRAP Macro
- Implementation:Langfuse Langfuse API Client Score Schema
Heuristics
- Heuristic:Lm sys FastChat Vicuna SFT Training Hyperparameters
- Heuristic:Tensorflow Serving Batching Thread Tuning
- Heuristic:Ollama Ollama Quantization Layer Selection
- Heuristic:Haosulab ManiSkill Rendering Memory Optimization
- Heuristic:Gretelai Gretel synthetics Memory Chunking For Normalization
- Heuristic:Iamhankai Forest of Thought Early Stop Majority Vote
- Heuristic:NVIDIA NeMo Aligner PPO Critic Warmup Tip
- Heuristic:Open compass VLMEvalKit Video Frame Sampling Configuration
- Heuristic:Cohere ai Cohere python Warning Deprecated Legacy Generate API
- Heuristic:Tensorflow Serving Resource Estimation Rules
Environments
- Environment:Snorkel team Snorkel PySpark
- Environment:Vllm project Vllm Python Dependencies
- Environment:SeldonIO Seldon core Kafka Messaging Environment
- Environment:Microsoft Onnxruntime CUDA GPU Environment
- Environment:Speechbrain Speechbrain Speech Enhancement Dependencies
- Environment:Treeverse LakeFS Go Runtime Environment
- Environment:Onnx Onnx Python Runtime Environment
- Environment:SeldonIO Seldon core Python ML Dependencies Environment
- Environment:Microsoft DeepSpeedExamples RLHF Training Environment
- Environment:DataTalksClub Data engineering zoomcamp Dlt BigQuery Environment