Showing 641-660 of 1,001 projects
A high-level machine learning and deep learning library for the PHP language.
A fast and controllable text-to-speech library supporting over 7000 languages using deep learning and PyTorch.
EasyNLP is an easy-to-use NLP toolkit for tasks like text classification, retrieval, and generation.
A comprehensive compendium of resources for machine learning and deep learning development.
A deep learning-based speech recognition library built on TensorFlow for developers working with AI-powered audio apps.
PyGAD is a Python 3 library for building genetic algorithms and training machine learning models.
Generates text-to-image synthesis using thought vectors.
A Python library that converts images of LaTeX math equations into LaTeX code using computer vision and deep learning.
This is a PyTorch implementation of adversarial attacks, a tool for developers working on deep learning projects.
A handwritten text recognition system implemented using TensorFlow for developers working with computer vision and OCR.
A repository containing notebooks of posts on Medium, focused on AI, data science, and machine learning topics.
A collection of TensorFlow tutorial code examples for learning deep learning from beginner to advanced.
A collection of Jupyter Notebook codes and tutorials for a variety of AI projects and data science tasks.
A library for differentiable nonlinear optimization, useful for computer vision and robotics tasks.
A Python library for graph deep learning research, focused on 3D graphs, explainable ML, and self-supervised learning.
Keras Temporal Convolutional Network (TCN) library for building deep learning models with temporal dependencies.
A collection of research papers and software related to explainability in graph machine learning.
GANimation is a PyTorch library for generating facial animations from a single image using generative adversarial networks.
A reinforcement learning environment based on the classic FPS game Doom, useful for AI and ML research.
Advanced Deep Learning with Keras book for learning deep learning concepts using the Keras framework
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