Popular GitHub Repositories for Graphical Debugger

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

pix2code: Generating Code from a Graphical User Interface Screenshot

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

Fast, flexible and easy to use probabilistic modelling in Python.

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

Bayesian inference with probabilistic programming.

scAR (single-cell Ambient Remover) is a deep learning model for removal of the ambient signals in droplet-based single cell omics

The first open-source Artificial Narrow Intelligence generalist agentic framework Computer-Using-Agent that fully operates graphical-user-interfaces (GUIs) by using only natural language. Uses Visualization-of-Thought and Chain-of-Thought reasoning to elicit spatial reasoning and perception, emulates, plans and simulates synthetic HID interactions.

AgentQL is a suite of tools for connecting your AI to the web. Featuring a query language and Playwright integrations for interacting with elements and extracting data quickly, precisely, and at scale. Includes REST API, Python and JavaScript SDKs, browser debugger.

? A curated list of papers and resources for multi-modal Graphical User Interface (GUI) agents.

LAYRA is a ready-to-use visual RAG system with a complete UI built with Next.js and FastAPI, preserving document layout, tables, paragraphs, and graphical elements without any structural fragmentation.

DGMs for NLP. A roadmap.

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

One-click training of your own GPT. Training a GPT has never been easier. / 训练一个GPT原来可以这么简单？

目标是提供一个完整的Java机器学习(Machine Learning/ML)框架,作为人工智能在学术界与工业界的桥梁. 让相关领域的研发人员能够在各种软硬件环境/数据结构/算法/模型之间无缝切换. 涵盖了从数据处理到模型的训练与评估各个环节,支持硬件加速和并行计算,是最快最全的Java机器学习库.

Node.js 调试器 (MCP 节点)

Scalable inference for a generative model of astronomical images

AutoML Web App - build Machine Learning pipeline in automatic way with Graphical User Interface (GUI). You can run app locally!

Input Output Hidden Markov Model (IOHMM) in Python

Objeck is a modern object-oriented programming language with functional features tailored for machine learning. It emphasizes expression, simplicity, portability, and scalability. The programming environment consists of a compiler, virtual machine, REPL shell, and command line debugger with IDE plugins.