dnlcrl / deep-residual-networks-pyfunt
Python implementation of "Deep Residual Learning for Image Recognition" (http://arxiv.org/abs/1512.03385 - MSRA, winner team of the 2015 ILSVRC and COCO challenges).
☆52Updated 7 years ago
Alternatives and similar repositories for deep-residual-networks-pyfunt:
Users that are interested in deep-residual-networks-pyfunt are comparing it to the libraries listed below
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Pythonic Deep Learning Framework Inspired by Torch's Neural Network package☆28Updated 7 years ago
- Implementation of FractalNet.☆48Updated 8 years ago
- Reproduction of some of the results from 'Identity Mappings in Deep Residual Networks'☆72Updated 8 years ago
- The collection of jupyter notebooks that were created to compose 3dbabove posts☆44Updated 7 years ago
- Mozi, Transfer Learning, Multi-Modal Learning, Theano☆27Updated 9 years ago
- Tensorflow implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"☆48Updated 7 years ago
- Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875☆21Updated 8 years ago
- Implementation of Deep Neural Decision Forest based on MSR paper☆29Updated 9 years ago
- Residual Network of Residual Networks in Keras☆23Updated 7 years ago
- Tensorflow implementation of "UNSUPERVISED REPRESENTATION LEARNING WITH DEEP CONVOLUTIONAL GENERATIVE ADVERSARIAL NETWORKS"☆81Updated 8 years ago
- Code for Kaggle EEG Detection competition☆70Updated 9 years ago
- [DEPRECATED] Please move to https://github.com/thuml/transfer-caffe☆18Updated 7 years ago
- Code for Kaggle Dovs vs. Cats competition http://www.kaggle.com/c/dogs-vs-cats☆65Updated 4 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 8 years ago
- Adversarial Workshop code and presentation☆38Updated 8 years ago
- ☆34Updated 8 years ago
- ☆22Updated 7 years ago
- Deep Residual Learning for Image Recognition, http://arxiv.org/abs/1512.03385☆87Updated 9 years ago
- Architecture learning for CNN's☆37Updated 8 years ago
- ☆74Updated 7 years ago
- FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals☆156Updated 7 years ago
- Implementation of Spatial Contrasting Network in Keras.☆20Updated 8 years ago
- ☆8Updated 8 years ago
- Residual network block in Keras☆72Updated 8 years ago
- ShaResNet: reducing residual network parameter number by sharing weights☆32Updated 8 years ago
- Implementation of GoogLeNet with lasagne and theano☆28Updated 9 years ago
- simple generative adversarial network (GAN) using PyTorch☆32Updated 8 years ago
- Modular Residual Networks implemented in TensorFlow. Easily change hyperparameters in a few lines.☆35Updated 8 years ago
- Bayesian Black Box Hyper Parameter Optimizer☆12Updated 8 years ago