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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:Eventual Inc Daft Distributed UDF Processing
- Workflow:LMCache LMCache KV Cache Offloading
- Workflow:NVIDIA TransformerEngine FSDP Distributed Training
- Workflow:Microsoft DeepSpeedExamples CIFAR10 Getting Started
- Workflow:Trailofbits Fickling Safe ML Model Loading
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:EvolvingLMMs Lab Lmms eval Custom Task Creation
- Workflow:Pyro ppl Pyro SVI Training
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:TobikoData Sqlmesh Model development and testing
Principles
- Principle:Spotify Luigi Metrics Collection
- Principle:Mlc ai Web llm Web Worker Engine Proxy
- Principle:Haotian liu LLaVA CLI Interactive Chat
- Principle:Huggingface Datatrove Media Reading Framework
- Principle:Haosulab ManiSkill Trajectory Replay Conversion
- Principle:Guardrails ai Guardrails Stream Invocation
- Principle:Fastai Fastbook Backpropagation
- Principle:Bentoml BentoML Cloud Endpoint Invocation
- Principle:Dotnet Machinelearning Feature Engineering
- Principle:Triton inference server Server Config Optimization
Implementations
- Implementation:Arize ai Phoenix Datasets Create Dataset
- Implementation:Infiniflow Ragflow UseRenameDataset Hook
- Implementation:NVIDIA TransformerEngine Cpp GEMM
- Implementation:Google deepmind Dm control CMU Mocap Initializer
- Implementation:Evidentlyai Evidently Legacy Runner
- Implementation:Scikit learn Scikit learn VarianceThreshold
- Implementation:Deepset ai Haystack SentenceTransformersTextEmbedder
- Implementation:Hiyouga LLaMA Factory Logging
- Implementation:Ggml org Llama cpp Peg Parser
- Implementation:Neuml Txtai TokenDetection
Heuristics
- Heuristic:Huggingface Trl Disable Dropout For RL Training
- Heuristic:Open compass VLMEvalKit Video Frame Sampling Configuration
- Heuristic:Scikit learn Scikit learn Warning Deprecated PassiveAggressive
- Heuristic:Heibaiying BigData Notes Kafka Consumer Offset Strategy Tip
- Heuristic:Scikit learn contrib Imbalanced learn KNeighbors Selection Tips
- Heuristic:Openai Evals Thread Tuning
- Heuristic:OpenGVLab InternVL Gradient Checkpointing Memory
- Heuristic:Hiyouga LLaMA Factory Gradient Checkpointing Memory Optimization
- Heuristic:MarketSquare Robotframework browser MacOS Sonoma Startup Delay
- Heuristic:Risingwavelabs Risingwave Docker Memory Allocation
Environments
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:BerriAI Litellm Redis Cache Backend
- Environment:Alibaba ROLL vLLM Inference Environment
- Environment:Ray project Ray Python Runtime Environment
- Environment:Haosulab ManiSkill GPU CUDA Simulation
- Environment:Speechbrain Speechbrain PyTorch CUDA Runtime
- Environment:Openai Openai agents python Voice Dependencies
- Environment:Openai Whisper Triton
- Environment:Huggingface Datatrove Inference GPU Environment
- Environment:Recommenders team Recommenders GPU CUDA Environment