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Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
PyTorch Tutorial for Deep Learning Researchers
Image-to-Image Translation in PyTorch
A Deep Learning based project for colorizing and restoring old images (and video!)
Image augmentation for machine learning experiments.
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Matplotlib styles for scientific plotting
Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, BasicVSR, SwinIR, ECBSR, etc. Also …
Preview GitHub README.md files locally before committing them.
Simple examples to introduce PyTorch
NVIDIA's Deep Imagination Team's PyTorch Library
Model summary in PyTorch similar to `model.summary()` in Keras
Collection of generative models in Tensorflow
LPIPS metric. pip install lpips
Minimal and Clean Reinforcement Learning Examples
Pytorch implementation of FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
mean Average Precision - This code evaluates the performance of your neural net for object recognition.
Flops counter for convolutional networks in pytorch framework
Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow
PyTorch version of the paper 'Enhanced Deep Residual Networks for Single Image Super-Resolution' (CVPRW 2017)
Text to image synthesis using thought vectors
👁️ 🖼️ 🔥PyTorch Toolbox for Image Quality Assessment, including PSNR, SSIM, LPIPS, FID, NIQE, NRQM(Ma), MUSIQ, TOPIQ, NIMA, DBCNN, BRISQUE, PI and more...
Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"
Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch