jeffreyfeng99

jeffreyfeng99's Stars

• KimiaLab/SYDE-522

  Tutorials and Lecture notes for SYDE 522

  Language:Jupyter Notebook7439

• jjkuang/BME355_Proj

  Language:Python1

• gradienthealth/dicom

  High Performance DICOM Medical Image Parser in Go.

  Language:Go7910

• matterport/Mask_RCNN

  Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

  Language:Python24.5k11.7k

• twtygqyy/pytorch-SRResNet

  pytorch implementation for Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network arXiv:1609.04802

  Language:Python476131

• simoninithomas/Deep_reinforcement_learning_Course

  Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch

  Language:Jupyter Notebook3.8k1.2k

• fg91/Deep-Q-Learning

  Tensorflow implementation of Deepminds dqn with double dueling networks

  Language:Jupyter Notebook20967

• tensorflow/playground

  Play with neural networks!

  Language:TypeScript11.9k2.5k

• tensorspace-team/tensorspace

  Neural network 3D visualization framework, build interactive and intuitive model in browsers, support pre-trained deep learning models from TensorFlow, Keras, TensorFlow.js

  Language:JavaScript5k443

• szagoruyko/functional-zoo

  PyTorch and Tensorflow functional model definitions

  Language:Jupyter Notebook58592

• udacity/deep-reinforcement-learning

  Repo for the Deep Reinforcement Learning Nanodegree program

  Language:Jupyter Notebook4.8k2.3k

• utiasSTARS/pykitti

  Python tools for working with KITTI data.

  Language:Python1.1k239

• junyanz/iGAN

  Interactive Image Generation via Generative Adversarial Networks

  Language:Python4k588

• chuhang/SurfConv

  Code & data for SurfConv paper at CVPR18

  Language:Python536

• NVIDIA/pix2pixHD

  Synthesizing and manipulating 2048x1024 images with conditional GANs

  Language:Python6.6k1.4k

• DerTarchin/Pix2Pix-Generative-Cities

  Using Pix2Pix to texture playable, generative cities

  Language:C#7010

• eric-guerin/terrain-amplification

  Terrain amplification as described in [Sparse representation of terrains for procedural modeling, Guérin et al. 2016]

  Language:MATLAB515

• kvfrans/variational-autoencoder

  generate MNIST using a Variational Autoencoder

  Language:Python705194

• crisbodnar/text-to-image

  Text to Image Synthesis using Generative Adversarial Networks

  Language:Python7628

• tkarras/progressive_growing_of_gans

  Progressive Growing of GANs for Improved Quality, Stability, and Variation

  Language:Python6.1k1.1k

• utkuozbulak/pytorch-cnn-visualizations

  Pytorch implementation of convolutional neural network visualization techniques

  Language:Python7.8k1.5k