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zumbalamambo's Projects

deep-koalarization icon deep-koalarization

Grayscale Image Colorization using deep CNN and Inception-ResNet-v2 (DD2424 Deep Learning in Science course at KTH 2017)

deep-lyrics icon deep-lyrics

Lyrics Generator aka Character-level Language Modeling with Multi-layer LSTM Recurrent Neural Network

deep-person-reid icon deep-person-reid

Cross-camera person tracking system built on KaiyangZhou/deep-person-reid

deep-photo-enhancer icon deep-photo-enhancer

TensorFlow implementation of the CVPR 2018 spotlight paper, Deep Photo Enhancer: Unpaired Learning for Image Enhancement from Photographs with GANs

deep-review icon deep-review

A collaboratively written review paper on deep learning, genomics, and precision medicine

deep3dfacerecon_pytorch icon deep3dfacerecon_pytorch

Accurate 3D Face Reconstruction with Weakly-Supervised Learning: From Single Image to Image Set (CVPRW 2019). A PyTorch implementation.

deepemd icon deepemd

Code for paper "DeepEMD: Few-Shot Image Classification with Differentiable Earth Mover's Distance and Structured Classifiers", CVPR2020

deepeye icon deepeye

DeepEye is a surveillance application leveraging the current sate of art deep learning and computer vision techniques. Current back-end framework uses Google Object Detection Api for object detection and tracking. It is open-source and feel free to modify for your own usage.

deepface icon deepface

Deep Learning Models for Face Detection/Recognition/Alignments, implemented in Tensorflow

deepfacelab icon deepfacelab

DeepFaceLab is a tool that utilizes deep learning to recognize and swap faces in pictures and videos.

deepfactors icon deepfactors

Real-Time Probabilistic Dense Monocular SLAM Using Compact Code Representation

deepfashion2 icon deepfashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

deepgamingai_fifa icon deepgamingai_fifa

A deep learning based AI bot for playing the football simulation game FIFA 18 (Windows platform)

deephar icon deephar

Deep human action recognition and pose estimation

deeplearning-500-questions icon 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18个章节,近30万字。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

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