xrosliang Goto Github PK
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xrosliang's Projects
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
deep-learning-with-keras-notebooks
Jupyter notebooks for using & learning Keras
deep-learning-with-python
Example projects I completed to understand Deep Learning techniques with Tensorflow.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
deep-learning-with-tensorflow-book
深度学习开源书，基于TensorFlow 2.0实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
deep-machine-learning-tutors
Deep-Machine Learning Tutors
deep-mutual-learning
TensorFlow Implementation of Deep Mutual Learning
deep-painterly-harmonization
Code and data for paper "Deep Painterly Harmonization": https://arxiv.org/abs/1804.03189
deep-person-reid
Torchreid: Deep learning person re-identification in PyTorch.
deep-photo-styletransfer
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
deep-reinforcement-learning-algorithms-with-pytorch
PyTorch implementations of deep reinforcement learning algorithms and environments
deep-reinforcement-learning-for-dialogue-generation-in-tensorflow
Deep-Reinforcement-Learning-for-Dialogue-Generation-in-tensorflow
deep-residual-networks
Deep Residual Learning for Image Recognition
deep-residual-shrinkage-networks
The deep residual shrinkage network is a variant of deep residual networks.
deep-rl-tensorflow
TensorFlow implementation of Deep Reinforcement Learning papers
deep-sad-pytorch
A PyTorch implementation of Deep SAD, a deep Semi-supervised Anomaly Detection method.
deep-siamese-text-similarity
Tensorflow based implementation of deep siamese LSTM network to capture phrase/sentence similarity using character/word embeddings
deep-smoke-machine
Deep learning models and dataset for recognizing industrial smoke emissions
deep-sort-yolov4
People detection and optional tracking with Tensorflow backend.
deep-stock
Deep Learning for Stock Market
deep-survey-text-classification
The project surveys 16+ Natural Language Processing (NLP) research papers that propose novel Deep Neural Network Models for Text Classification, based on Convolutional Neural Networks (CNN) and Recurrent Neural Networks (RNN). It also implements each of the models using Tensorflow and Keras.
deep-text-recognition-benchmark
Text recognition (optical character recognition) with deep learning methods.
deep-transfer-learning
A collection of implementations of deep domain adaptation algorithms
deep-video-prior
Code for NeurIPS 2020 paper: Blind Video Temporal Consistency via Deep Video Prior
deep-visualization-toolbox
DeepVis Toolbox
deep3d
Automatic 2D-to-3D Video Conversion with CNNs
deepaligned-clustering
Discovering New Intents with Deep Aligned Clustering (AAAI2021)
deepalignmentnetwork
A deep neural network for face alignment
deepbayes-2018
Seminars DeepBayes Summer School 2018
deepbox
Code release for DeepBox paper in ICCV 2015
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