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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:Trailofbits Fickling PyTorch Payload Injection
- Workflow:Hpcaitech ColossalAI RAG Application
- Workflow:Sgl project Sglang Offline Batch Inference
- Workflow:Huggingface Transformers Pipeline Inference
- Workflow:Pyro ppl Pyro VAE Training
- Workflow:Treeverse LakeFS Write Audit Publish With Hooks
- Workflow:NVIDIA DALI Image Classification Training PyTorch
- Workflow:Google research Deduplicate text datasets Single file deduplication
- Workflow:Protectai Modelscan CLI Model Scanning
- Workflow:Confident ai Deepeval End to End LLM Evaluation
Principles
- Principle:Openai Whisper Audio Padding And Trimming
- Principle:Ggml org Ggml CPU Tensor Operations
- Principle:Interpretml Interpret Regression Performance
- Principle:Farama Foundation Gymnasium Vectorized Environment Creation
- Principle:Microsoft Semantic kernel Orchestration Runtime
- Principle:Triton inference server Server API Access Restriction
- Principle:Google deepmind Mujoco CPU Model Loading
- Principle:Microsoft Semantic kernel Native Plugin Definition
- Principle:Pola rs Polars Lazy Query Collection
- Principle:Guardrails ai Guardrails LLM Validation Wrapping
Implementations
- Implementation:OpenRLHF OpenRLHF RewardModelTrainer
- Implementation:Mage ai Mage ai Source Discover
- Implementation:SeleniumHQ Selenium Closure UI SelectionModel
- Implementation:Recommenders team Recommenders LSTUR Model
- Implementation:Microsoft Onnxruntime CUDA SoftmaxGrad
- Implementation:Arize ai Phoenix Client Executors
- Implementation:LLMBook zh LLMBook zh github io Apply Rotary Pos Emb
- Implementation:Astronomer Astronomer cosmos Package Exports
- Implementation:Scikit learn Scikit learn PrecisionRecallDisplay
- Implementation:BerriAI Litellm Least Busy Strategy
Heuristics
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:Alibaba ROLL Dynamic Batching Token Limits
- Heuristic:Axolotl ai cloud Axolotl Gradient Checkpointing Reentrant Rules
- Heuristic:Microsoft Onnxruntime Flash Attention Optimization
- Heuristic:Eventual Inc Daft Delta Lake S3 Locking
- Heuristic:Datajuicer Data juicer Checkpoint Resumption Strategy
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Fede1024 Rust rdkafka Transaction Error Recovery
- Heuristic:ClickHouse ClickHouse Test Writing Conventions
- Heuristic:Fastai Fastbook Mixup Data Augmentation
Environments
- Environment:Neuml Txtai Python Core Environment
- Environment:FMInference FlexLLMGen CUDA GPU
- Environment:Apache Spark Release Build Environment
- Environment:Deepset ai Haystack GPU Device Environment
- Environment:Iamhankai Forest of Thought Python CUDA Runtime
- Environment:Huggingface Alignment handbook Evaluation Tools
- Environment:Huggingface Diffusers PyTorch CUDA Runtime
- Environment:Openai Openai node Node 20 Runtime
- Environment:NVIDIA NeMo Curator Python Linux Base
- Environment:OpenBMB UltraFeedback OpenAI API Environment