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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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Browse by Category
| 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:Langchain ai Langchain Streaming Responses
- Workflow:LLMBook zh LLMBook zh github io LLM Pretraining
- Workflow:SeleniumHQ Selenium Browser Session Setup
- Workflow:PacktPublishing LLM Engineers Handbook LLM Finetuning
- Workflow:Sktime Pytorch forecasting TFT Hyperparameter Optimization
- Workflow:Interpretml Interpret EBM Training And Prediction
- Workflow:Promptfoo Promptfoo Project Initialization
- Workflow:Apache Shardingsphere Metadata DDL Refresh
- Workflow:Sktime Pytorch forecasting TFT Demand Forecasting
- Workflow:NVIDIA NeMo Aligner RLHF PPO Training
Principles
- Principle:Infiniflow Ragflow Knowledge Base Selection
- Principle:Spotify Luigi Hadoop Pipeline Execution
- Principle:Huggingface Optimum Reversible Transformation
- Principle:Huggingface Datasets Spark Dataset Building
- Principle:Openai CLIP Zero Shot Classifier Construction
- Principle:Fastai Fastbook Latent Factor Model
- Principle:Nautechsystems Nautilus trader Client Factory Registration
- Principle:LaurentMazare Tch rs Generated Tensor Operations
- Principle:LaurentMazare Tch rs Autoregressive Sampling
- Principle:Openai Evals Batch Eval Execution
Implementations
- Implementation:FlowiseAI Flowise GetAllAgentflows
- Implementation:Huggingface Datatrove BaseFormatter
- Implementation:Lance format Lance LanceCrateRoot
- Implementation:Anthropics Anthropic sdk python Messages Parse
- Implementation:Microsoft Autogen Studio Auth Middleware
- Implementation:NVIDIA NeMo Curator DocumentSplitter
- Implementation:HKUDS AI Trader AssetChart
- Implementation:Neuml Txtai TemplateTask
- Implementation:Openai Openai python Realtime Server Events
- Implementation:Wandb Weave Publish PyPI Release
Heuristics
- Heuristic:Guardrails ai Guardrails Async Vs Sync Validation Mode
- Heuristic:Nightwatchjs Nightwatch Warning Deprecated API Members
- Heuristic:Cleanlab Cleanlab Object Detection Scoring Constants
- Heuristic:Haotian liu LLaVA Gradient Checkpointing Memory Optimization
- Heuristic:TobikoData Sqlmesh Snapshot TTL Defaults
- Heuristic:Langfuse Langfuse LLM Rate Limit 24h Abandon
- Heuristic:Groq Groq python Error Handling Hierarchy
- Heuristic:Zai org CogVideo Scheduler and Guidance Selection
- Heuristic:Rapidsai Cuml Quantile Split Differences
- Heuristic:Unstructured IO Unstructured Golden File Diff
Environments
- Environment:Unslothai Unsloth Llama Cpp
- Environment:NVIDIA NeMo Aligner TensorRT LLM Acceleration Environment
- Environment:Facebookresearch Audiocraft AudioCraft Environment Variables
- Environment:DevExpress Testcafe Docker Xvfb Container
- Environment:Tensorflow Tfjs Python Converter
- Environment:Kubeflow Pipelines KFP Backend Deployment
- Environment:VainF Torch Pruning CUDA GPU Benchmarking
- Environment:Alibaba ROLL Megatron Training Environment
- Environment:SqueezeAILab ETS Multi GPU Sglang Runtime
- Environment:Dotnet Machinelearning Dotnet SDK And Runtime