anshulll's Stars
ShangtongZhang/reinforcement-learning-an-introduction
Python Implementation of Reinforcement Learning: An Introduction
YashJipkate/Naarad
An app for code.fun.do++
CrisisNLP/deep-learning-for-big-crisis-data
zishansami102/CNN-from-Scratch
A scratch implementation of Convolutional Neural Network in Python using only numpy and validated over CIFAR-10 & MNIST Dataset
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
karpathy/neuraltalk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
TarrySingh/Artificial-Intelligence-Deep-Learning-Machine-Learning-Tutorials
A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.
DeepRNN/image_captioning
Tensorflow implementation of "Show, Attend and Tell: Neural Image Caption Generation with Visual Attention"
Shobhit20/Image-Captioning
Image Captioning: Implementing the Neural Image Caption Generator with python
mlberkeley/oreilly-captions
yashk2810/Image-Captioning
Image Captioning using InceptionV3 and beam search
anuragmishracse/caption_generator
A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.
kelvinxu/arctic-captions
ModelDepot/tfjs-yolo-tiny-demo
Demo for https://www.npmjs.com/package/tfjs-yolo-tiny
qqwweee/keras-yolo3
A Keras implementation of YOLOv3 (Tensorflow backend)
terryum/awesome-deep-learning-papers
The most cited deep learning papers
val-iisc/deligan
This project is an implementation of the Generative Adversarial Network proposed in our CVPR 2017 paper - DeLiGAN : Generative Adversarial Networks for Diverse and Limited Data. DeLiGAN is a simple but effective modification of the GAN framework and aims to improve performance on datasets which are diverse yet small in size.
sbrugman/deep-learning-papers
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
YashJipkate/blind-device
A device for the blinds using Computer Vision