wiseodd / hipsternetLinks
All the hipster things in Neural Net in a single repo
☆287Updated 7 years ago
Alternatives and similar repositories for hipsternet
Users that are interested in hipsternet are comparing it to the libraries listed below
Sorting:
- Deep learning library in plain Numpy.☆322Updated 3 years ago
- PyTorch and Tensorflow functional model definitions☆587Updated 7 years ago
- ☆141Updated 2 years ago
- Assignment solutions for the CS231n course taught by Stanford on visual recognition. Spring 2017 solutions are for both deep learning fra…☆113Updated 7 years ago
- my assignment solutions for CS231n Convolutional Neural Networks for Visual Recognition☆209Updated 9 years ago
- 📈 TensorFlow + Matplotlib as TF ops☆299Updated 6 years ago
- Summaries of papers on deep learning☆572Updated 5 years ago
- ☆264Updated 6 years ago
- Minimal tutorials for PyTorch☆329Updated 4 years ago
- ☆232Updated 3 years ago
- ☆239Updated 7 years ago
- Enumerate diverse machine learning training tricks.☆421Updated 8 years ago
- PyTorch implementation of the CortexNet predictive model☆367Updated 6 years ago
- Practical Exercise Codes for PyTorch☆272Updated 7 years ago
- SqueezeNet implementation with Keras Framework☆406Updated 2 years ago
- A collection of deep learning tutorials using Tensorflow and Python☆522Updated 8 years ago
- 🎆 A visualization of the CapsNet layers to better understand how it works☆395Updated 3 years ago
- A timeline showing the development of Generative Adversarial Networks (GAN).☆388Updated 6 years ago
- ☆253Updated 8 years ago
- An experimental technique for efficiently exploring neural architectures.☆491Updated 8 years ago
- Log TensorBoard events without touching TensorFlow☆628Updated 2 years ago
- ☆305Updated 4 years ago
- Awesome PyTorch☆283Updated last year
- Tutorial on GANs☆292Updated 8 years ago
- Kind PyTorch Tutorial for beginners☆391Updated 8 years ago
- videos, slides, and others from NIPS 2017☆180Updated 7 years ago
- Convolutional Neural Networks Assignments☆295Updated 9 years ago
- Spatially-sparse convolutional networks. Allows processing of sparse 2, 3 and 4 dimensional data.Build CNNs on the square/cubic/hypercubi…☆407Updated 4 years ago
- Evaluation of the CNN design choices performance on ImageNet-2012.☆743Updated 8 years ago
- Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.☆375Updated 7 years ago