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2018-kaggle-adtrackingfraud

2018 - Kaggle - TalkingData AdTracking Fraud Detection Challenge: Silver medal (银牌)

2019-tencent-ad-competition-rank16-solution

3d

3D face

3d-r2n2

Single/multi view image(s) to voxel reconstruction using a recurrent neural network

3dmm_cnn

Regressing Robust and Discriminative 3D Morphable Models with a very Deep Neural Network

adversarial_video_generation

A TensorFlow Implementation of "Deep Multi-Scale Video Prediction Beyond Mean Square Error" by Mathieu, Couprie & LeCun.

android-object-detection

:coffee: Fast-RCNN and Scene Recognition using Caffe

animegan

A simple PyTorch Implementation of Generative Adversarial Networks, focusing on anime face drawing.

arcade-learning-environment

The Arcade Learning Environment (ALE) -- a platform for AI research.

article-recommand-system

This is a repository which save the soure code of the term project of ADS.

attention-seq2seq-chatbot-by-pytorch1.0.1

awesome-deep-vision

A curated list of deep learning resources for computer vision

blog

bytetrack

ByteTrack: Multi-Object Tracking by Associating Every Detection Box

caffe

Caffe: a fast open framework for deep learning.

caffe-model

Caffe models (imagenet pretrain) and prototxt generator scripts for inception_v3 \ inception_v4 \ inception_resnet \ fractalnet \ resnext

caffe_install_cmake

caption_generator

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

cartoongan-test-pytorch-torch

Pytorch and Torch testing code of CartoonGAN [Chen et al., CVPR18]

centerpoint

conv_lstm

convlstm

convlstm-1

Convolutional LSTM for Precipitation Nowcasting

convolutional-lstm-in-tensorflow

An implementation of convolutional lstms in tensorflow. The code is written in the same style as the basiclstmcell function in tensorflow

deep-image-retrieval

deep_q_rl

Theano-based implementation of Deep Q-learning

deepface

Face analysis mainly based on Caffe. At this time, face analysis tasks like detection, alignment and recognition have been done.

deeplab_v3

Tensorflow Implementation of the Semantic Segmentation DeepLab_V3 CNN

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为15个章节，近20万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeprecommender

Deep learning for recommender systems