A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

TensorFlow implementation of Multi-Agent Diverse Generative Adversarial Network (MAD-GAN)

PyTorch 官方中文教程包含 60 分钟快速入门教程，强化教程，计算机视觉，自然语言处理，生成对抗网络，强化学习。欢迎 Star，Fork！

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

《统计学习方法》的代码实现

Doodle to Search: Practical Zero Shot Sketch Based Image Retrieval

[CVPR 2020] DPGN: Distribution Propagation Graph Network for Few-shot Learning.

Wei-Chih Wayne Hung's personal website

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Generative Adversarial Text to Image Synthesis / Please Star -->

Implementation of method described in http://openaccess.thecvf.com/content_ICCV_2019/papers/Le_Cacheux_Modeling_Inter_and_Intra-Class_Relations_in_the_Triplet_Loss_for_ICCV_2019_paper.pdf

The classical papers and codes about generative adversarial nets

Automatic pedestrian detection and monitoring system based on TensorFlow.基于TensorFlow的自动化行人检测（人体检测）和监控（视频监控）系统。

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

A novel method for few shot learning

This repository is an implementation of Feature Generating Networks for Zero Shot Learning (https://arxiv.org/pdf/1712.00981.pdf).

Basic GANs with variety of loss functions as an exercise for my Thesis with Prof. Randy Paffenroth. KL, Reverse-KL, JS and Wasserstein GAN.

Center Loss implementation with TensorFlow

Code of the article: Generating Visual Representations for Zero-Shot Classification ICCV17 WS

A collection of generative methods implemented with TensorFlow (Deep Convolutional Generative Adversarial Networks (DCGAN), Variational Autoencoder (VAE) and DRAW: A Recurrent Neural Network For Im…

Statistics and Visualization of acceptance rate, main keyword of CVPR 2019 accepted papers for the main Computer Vision conference (CVPR)

This is code of book "Learn Deep Learning with PyTorch"

Deep Learning with PyTorch, published by Packt

机器学习算法 基于西瓜书以及《统计学习方法》，当然包括DL。