Algorithms 's repositories
ddia
《Designing Data-Intensive Application》DDIA中文翻译
domain-transfer-network
TensorFlow Implementation of "Unsupervised Cross-Domain Image Generation"
face-flaw-detect-retouch
This work aims to aotumaticly detect facial flaws and retouch,such as freckles,ances
GANTextureGenerator
Generate textures and images using a Generative Advisary neural Network
HyperFace-with-SqueezeNet
Two multitasking CNNs for simultaneous face detection, landmarks estimation and visibility, pose estimation and gender recognition. hyperface.py concatenates feature maps from initial, mid and final layers of the network and then branches out to different heads. multiout.py branches from the final layer of the network to different heads. DataGen2.py is the Data Generator used for reading multiple labels from json files. It is a modified version of Keras's default Data Generator. The idea is based on the following paper - [1] R. Ranjan, V. M. Patel, and R. Chellappa. Hyperface: A deep multitask learning framework for face detection, landmark localization, pose estimation, and gender recognition. CoRR, abs/1603.01249, 2016. The implementation is slightly different. The original HyperFace architecture is built on top of AlexNet while the implementation here uses another architecture called SqueezeNet.
improved_wgan_training
Code for reproducing experiments in "Improved Training of Wasserstein GANs"
lc-all-solutions
My own lc solutions
learnopencv
Learn OpenCV : C++ and Python Examples
mobilenetv3
mobilenetv3 with pytorch,provide pre-train model
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
nn_playground
Experimental implementation of novel neural network structures
PyTorch-Style-Transfer
Neural Style and MSG-Net
really-awesome-gan
A list of papers on General Adversarial (Neural) Networks
tensorflow-resnet
ResNet model in TensorFlow
TensorFlow2.0-Examples
💥 Tensorflow2.x Examples from basic to hard
TF-Tutorials
A collection of deep learning tutorials using Tensorflow and Python
vid2vid
Pytorch implementation of our method for high-resolution (e.g. 2048x1024) photorealistic video-to-video translation.
VisualGPT
CVPR 2022 Proceeding
vit-pytorch
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
WassersteinGAN.tensorflow
Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite