dfouhey / caffe64Links
No dependency caffe replacement
☆337Updated 7 years ago
Alternatives and similar repositories for caffe64
Users that are interested in caffe64 are comparing it to the libraries listed below
Sorting:
- Training Very Deep Neural Networks Without Skip-Connections☆587Updated 7 years ago
- Spatially Adaptive Computation Time for Residual Networks☆247Updated 2 years ago
- Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking☆467Updated 7 years ago
- PyTorch based Deep Learning Toolbox☆204Updated 7 years ago
- Code for "On the Effects of Batch and Weight Normalization in Generative Adversarial Networks"☆181Updated 7 years ago
- CVPR'17 GAN Tutorial☆216Updated 8 years ago
- A track of papers I read☆186Updated 6 years ago
- This repo houses the new PNN code, along with our responses to the issue raised in the recent Reddit discussion. The code is based on Mic…☆235Updated 6 years ago
- Generic Foreground Segmentation in Images☆160Updated 5 years ago
- PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot☆322Updated 7 years ago
- Lightweight browser-based display server☆210Updated 8 years ago
- Pytorch C++ Library☆367Updated 7 years ago
- in progress☆261Updated 8 years ago
- w-net: a convolutional neural network architecture for the self-supervised learning of depthmap from pairs of stereo images.☆203Updated 7 years ago
- 🌓 Bringing pjreddie's DarkNet out of the shadows #yolo☆320Updated 6 years ago
- videos, slides, and others from NIPS 2017☆180Updated 7 years ago
- TensorFlow implementation of "Learning from Simulated and Unsupervised Images through Adversarial Training"☆579Updated 5 years ago
- An experimental technique for efficiently exploring neural architectures.☆491Updated 8 years ago
- ☆264Updated 6 years ago
- Speed up PixelCNN++ image generation by up to a 183 times☆481Updated 8 years ago
- Implementation of Apple's Learning from Simulated and Unsupervised Images through Adversarial Training☆416Updated 8 years ago
- A simple toolkit to easily apply image classification networks to your data.☆119Updated 7 years ago
- 2.86% and 15.85% on CIFAR-10 and CIFAR-100☆295Updated 6 years ago
- Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.☆375Updated 7 years ago
- Precomputed Real-Time Texture Synthesis with Markovian Generative Adversarial Networks☆292Updated 5 years ago
- Deserialize Lua torch-serialized objects from Python☆216Updated 5 years ago
- Learning What and Where to Draw☆336Updated 8 years ago
- FractalNet: A fractal-based neural network architecture☆150Updated 7 years ago
- auto-tuning momentum SGD optimizer☆288Updated 6 years ago
- ☆138Updated 8 years ago