6273 Open source projects that are alternatives of or similar to Equivariant Transformers

Repository for most of the code from my YouTube channel

TensorFlow implementation for SmoothGrad, Grad-CAM, Guided backprop, Integrated Gradients and other saliency techniques

Joint Face Detection and Alignment using Multi-task Cascaded Convolutional Networks

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

food image to recipe with deep convolutional neural networks.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Weakly Supervised Segmentation with Tensorflow. Implements instance segmentation as described in Simple Does It: Weakly Supervised Instance and Semantic Segmentation, by Khoreva et al. (CVPR 2017).

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

Resources for students in the Udacity's Machine Learning Engineer Nanodegree to work through Stanford's Convolutional Neural Networks for Visual Recognition course (CS231n).

Keras tutorial for beginners (using TF backend)

Vehicle detection using YOLO in Keras runs at 21FPS

Music recommender using deep learning with Keras and TensorFlow

Keras- Multi Label Image Classification

Exploratory Project on Fast Screen Space Global Illumination

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

Keras implementation of the multi-channel cascaded architecture introduced in the paper "Brain Tumor Segmentation with Deep Neural Networks"

Twitter Sentiment Analysis with Gensim Word2Vec and Keras Convolutional Network

implement the paper" Very Deep Convolutional Networks for Natural Language Processing"(https://arxiv.org/abs/1606.01781 ) in tensorflow

Visualisations for Convolutional Neural Networks in Pytorch

CNN image style transfer 🎨.

CNN 1D vs 2D audio classification

Build a CNN network to predict 3D bounding box of car from 2D image.

TensorFlow Tutorials

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

tensorflow implementation of Grad-CAM (CNN visualization)

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Deep learning codes and projects using Python

Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Convolutional Neural Network for Human Activity Recognition in Tensorflow

Convolutional neural networks for artistic style transfer.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

Efficient Learning of Augmentation Policy Schedules

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models

Keras implementation of paper 'Deep Visual Attention Prediction' which predicts human eye fixation on view-free scenes.

This classifier use Convolution Neural Network approch for kaggle problem to classify Cat vs Dog images.

Repo for Tang et al, bioRxiv 454793 (2018)

Build an OCR for iOS apps

Udacity Self-Driving Car Engineer Nanodegree. Project: Build a Traffic Sign Recognition Classifier

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

Skin cancer classification using Inceptionv3

Binary Convolution Network for faster real-time processing in ASICs

Google Street View House Number(SVHN) Dataset, and classifying them through CNN

Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"

Best Practices, code samples, and documentation for Computer Vision.

Trained A Convolutional Neural Network To Play 2048 using Deep-Reinforcement Learning

A CNN Variational Autoencoder (CNN-VAE) implemented in PyTorch

Evaluation of the CNN design choices performance on ImageNet-2012.

This toolbox is support material for the book on CNN (http://www.convolution.network).

Detecting Pneumonia in Chest X-ray Images using Convolutional Neural Network and Pretrained Models

Convolutional Neural Network for German Traffic Sign Recognition Benchmark