Showing 21-40 of 182 projects
A TensorFlow implementation of Deep Convolutional Generative Adversarial Networks (DCGAN) for building AI-powered generative models.
A collection of cheatsheets for the Stanford CS 230 Deep Learning course, covering key concepts and techniques.
A collection of Jupyter Notebooks for learning and applying deep learning using Keras and TensorFlow.
This is a Tensorflow-based convolutional neural network for text classification, useful for building NLP applications.
A simple Go library for common image processing tasks like blur, resize, rotate, and more.
This is a stock prediction AI project that uses a GAN with LSTM and CNN to forecast stock price movements.
Collection of Deep Learning projects and exercises for Udacity's Deep Learning Nanodegree program
PyTorch implementation of Graph Convolutional Networks, a powerful machine learning technique for graph data.
A high-performance Swift library for matrix math, digital signal processing, and image manipulation.
A high-performance real-time instance segmentation library for computer vision applications.
A Jupyter Notebook implementation of the U-Net convolutional neural network for image segmentation tasks.
A PyTorch implementation of the DenseNet architecture, a state-of-the-art convolutional neural network.
Super-scale images using Residual Dense and Adversarial Networks for computer vision tasks.
This repository provides interview preparation resources for AI and machine learning developers.
A collection of important graph embedding, classification and representation learning papers with implementations for vibe coders.
A library for sequence modeling benchmarks and temporal convolutional networks (TCN) in Python.
This GitHub repository contains code samples and examples for the Machine Learning with TensorFlow book, covering a wide range of machine learning topics.
Efficient AI model backbones developed by Huawei's Noah's Ark Lab, including GhostNet, TNT, and MLP.
A differentiable architecture search library for convolutional and recurrent neural networks
A comprehensive collection of tutorials and resources for AI, deep learning, and machine learning in Python.
Get weekly updates on trending AI coding tools and projects.