6398 Open source projects that are alternatives of or similar to Stanford Cs231

Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Breast Cancer Classification using CNN and transfer learning

Reproduce CheXNet

Equivariant Transformer (ET) layers are image-to-image mappings that incorporate prior knowledge on invariances with respect to continuous transformations groups (ICML 2019). Paper: https://arxiv.org/abs/1901.11399

Implementing YOLO using ResNet as the feature extraction network

Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning frameworks: TensorFlow and PyTorch.

Learned representation for Offline Handwritten Signature Verification. Models and code to extract features from signature images.

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

MotionSense Dataset for Human Activity and Attribute Recognition ( time-series data generated by smartphone's sensors: accelerometer and gyroscope)

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

CNN 1D vs 2D audio classification

Convolutional Neural Network for German Traffic Sign Recognition Benchmark

Keras implementation of a CNN network for age and gender estimation

🏥 Visualizing Convolutional Networks for MRI-based Diagnosis of Alzheimer’s Disease

Tutoriais de Python, Data Science, Machine Learning e Deep Learning - Sigmoidal

Detecting cinema shot types using a ResNet-50

Text to Speech with PyTorch (English and Mongolian)

Reducing the size of convolutional neural networks

Python solutions to the problem sets of Stanford's graduate course on Machine Learning, taught by Prof. Andrew Ng

Important paper implementations for Question Answering using PyTorch

A Tensorflow implementation of CapsNet(Capsules Net) apply on german traffic sign dataset

A machine learning experiment

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

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

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).

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

Convolutional Neural Networks on Graphs with Fast Localized Spectral Filtering

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

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"

Allstate Kaggle Competition ML Capstone Project

An advanced lane-finding algorithm using distortion correction, image rectification, color transforms, and gradient thresholding.

Generating Captions for images using Deep Learning

Vehicle detection using machine learning and computer vision techniques for Udacity's Self-Driving Car Engineer Nanodegree.

PyTorch tutorial for learners

Image Tampering Detection using ELA and CNN

Code examples for training AlexNet using Keras and Theano

Object classification with CIFAR-10 using transfer learning

a collection of my notes on deep learning

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Visualisations for Convolutional Neural Networks in Pytorch

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

Implementations of some popular Saliency Maps in Keras

Master the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.

A journey into Convolutional Neural Network visualization

My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition

All projects and lecture notes of the Udacity Machine Learning Engineer Nanodegree.

CNN image classifier implemented in Keras Notebook 🖼️.

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

Deep learning codes and projects using Python

CNN image style transfer 🎨.

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

TensorFlow Tutorials

Diseases Detection from NIH Chest X-ray data

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

Hiding Images within other images using Deep Learning

My personal notes, presentations, and notebooks on everything Deep Learning.

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