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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:Nautechsystems Nautilus trader Backtest with BacktestNode
- Workflow:MarketSquare Robotframework browser Installation and Setup
- Workflow:Ollama Ollama Custom Model Creation
- Workflow:Ggml org Ggml GPT2 Text Generation
- Workflow:Huggingface Diffusers Video Generation
- Workflow:Deepset ai Haystack RAG Evaluation Pipeline
- Workflow:NVIDIA NeMo Curator Text Curation Pipeline
- Workflow:Sgl project Sglang Multimodal Vision Language Inference
- Workflow:Protectai Modelscan Custom Scanner Plugin
- Workflow:Microsoft Semantic kernel Plugin Integration And Function Calling
Principles
- Principle:Sktime Pytorch forecasting Synthetic Data Generation
- Principle:Haosulab ManiSkill Scene Construction
- Principle:Apache Spark Test Orchestration
- Principle:Online ml River Online Linear Regression
- Principle:Tencent Ncnn Foreign Model Conversion
- Principle:Huggingface Transformers Base Model Loading For PEFT
- Principle:Webdriverio Webdriverio BrowserDetection
- Principle:Datahub project Datahub UI Access
- Principle:Langfuse Langfuse ChatML Normalization
- Principle:Scikit learn contrib Imbalanced learn Dataset Imbalancing
Implementations
- Implementation:Pyro ppl Pyro CJS Models
- Implementation:Langfuse Langfuse InMemoryFilterService
- Implementation:Microsoft Playwright Server Page
- Implementation:Open compass VLMEvalKit PaliGemma
- Implementation:Apache Shardingsphere YamlEngine Unmarshal
- Implementation:Tensorflow Tfjs Container Test
- Implementation:Farama Foundation Gymnasium REINFORCE Update
- Implementation:Scikit learn Scikit learn FactorAnalysis
- Implementation:Treeverse LakeFS CreateRepository
- Implementation:Vibrantlabsai Ragas ContextEntityRecall
Heuristics
- Heuristic:ContextualAI HALOs Batch Size Divisibility
- Heuristic:Triton inference server Server Server Default Configuration
- Heuristic:ContextualAI HALOs FSDP Sampling Workaround
- Heuristic:SeleniumHQ Selenium Explicit Over Implicit Waits
- Heuristic:Obss Sahi Confidence Threshold Setting
- Heuristic:Microsoft LoRA Selective LoRA QV Only
- Heuristic:Trailofbits Fickling Race Condition Prevention
- Heuristic:Intel Ipex llm QLoRA Training Hyperparameters
- Heuristic:Ucbepic Docetl Reduce Parallel Fold Tuning
- Heuristic:SeleniumHQ Selenium Bazel Hermetic Build Requirement
Environments
- Environment:Apache Spark JDK Build Environment
- Environment:Intel Ipex llm XPU Finetuning Environment
- Environment:Axolotl ai cloud Axolotl CUDA GPU
- Environment:Fede1024 Rust rdkafka Kafka Broker Runtime
- Environment:Alibaba ROLL Ascend NPU Environment
- Environment:Neuml Txtai Docker Deployment Environment
- Environment:OpenBMB UltraFeedback vLLM Multi GPU Environment
- Environment:Eric mitchell Direct preference optimization PyTorch CUDA
- Environment:Vllm project Vllm Intel XPU
- Environment:Huggingface Transformers Python 310 Runtime