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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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|---|---|---|
| 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:AnswerDotAI RAGatouille In Memory Retrieval
- Workflow:ArroyoSystems Arroyo SQL Pipeline Lifecycle
- Workflow:Explodinggradients Ragas RAG Evaluation
- Workflow:Recommenders team Recommenders News Recommendation NRMS
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:Openai Openai node Chat Completion
- Workflow:Hpcaitech ColossalAI DPO Alignment
- Workflow:Allenai Open instruct GRPO Reinforcement Learning
- Workflow:Cohere ai Cohere python Chat Completion
- Workflow:Allenai Open instruct Reward Model Training
Principles
- Principle:DataTalksClub Data engineering zoomcamp Dlt Pipeline Execution
- Principle:ClickHouse ClickHouse HTTP Authentication
- Principle:Huggingface Alignment handbook Direct Preference Optimization
- Principle:PacktPublishing LLM Engineers Handbook SageMaker Training Orchestration
- Principle:DistrictDataLabs Yellowbrick Text Feature Visualization
- Principle:Princeton nlp Tree of thought llm Task Instantiation
- Principle:Microsoft Onnxruntime Model Conversion to ONNX
- Principle:Apache Kafka Broker Logging Configuration
- Principle:Google deepmind Mujoco Scene Rendering
- Principle:Iterative Dvc Plot Definition Collection
Implementations
- Implementation:Kornia Kornia Unsharp Mask
- Implementation:Alibaba MNN FlatBuffers IDL Gen Go
- Implementation:Vibrantlabsai Ragas Tokenizers
- Implementation:Iterative Dvc Index Graph Build
- Implementation:Online ml River Neighbors LazySearch
- Implementation:Langgenius Dify Use Explore
- Implementation:Norrrrrrr lyn WAInjectBench Validation TPR Selection
- Implementation:LaurentMazare Tch rs Stable Diffusion Pipeline
- Implementation:Ucbepic Docetl Directive OperatorFusion
- Implementation:Ollama Ollama Imagegen CLI
Heuristics
- Heuristic:Kubeflow Pipelines Resource Sizing For Components
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:Microsoft Autogen Warning Deprecated JSON Env Files
- Heuristic:Ray project Ray Graceful Shutdown Timing
- Heuristic:Gretelai Gretel synthetics Binary Encoder Cutoff
- Heuristic:Recommenders team Recommenders TensorFlow Session Ordering
- Heuristic:Confident ai Deepeval Async Concurrency Tuning
- Heuristic:Onnx Onnx Protobuf 2GB Limit Workaround
- Heuristic:Bentoml BentoML Adaptive Batching Tuning
- Heuristic:Junyanz Pytorch CycleGAN and pix2pix Batch Size One Default
Environments
- Environment:Scikit learn Scikit learn Python Runtime Environment
- Environment:Princeton nlp SimPO VLLM Inference
- Environment:Nightwatchjs Nightwatch Node 18 Runtime
- Environment:Vllm project Vllm Python
- Environment:NVIDIA NeMo Aligner PyTriton Serving Environment
- Environment:Pyro ppl Pyro Python PyTorch Core
- Environment:Kserve Kserve SRIOV RDMA Network
- Environment:Mbzuai oryx Awesome LLM Post training Python Matplotlib
- Environment:Testtimescaling Testtimescaling github io Python 3 Runtime
- Environment:Datahub project Datahub Python Ingestion