cvalenzuela / hpc
A quick reference to access NYU High Performance Computing
☆117Updated 6 years ago
Related projects: ⓘ
- ☆23Updated this week
- ☆31Updated this week
- DS-GA-1011 Natural Language Processing with Representation Learning☆81Updated 6 years ago
- Lab tasks for the course on "Data Engineering for Machine Learning"☆10Updated last year
- NYU Prince set up☆24Updated 2 years ago
- Inference and Representation (DS-GA-1005, CSCI-GA.2569), fall 18☆62Updated 5 years ago
- Course webpage for COMP 790, (Deep) Learning from Limited Labeled Data☆302Updated 4 years ago
- Tutorials for Spring 2018☆84Updated 6 years ago
- This was my private research codebase during grad school. After graduation I made it all public☆120Updated 5 years ago
- NIPS2017 "Time Domain Neural Audio Style Transfer" code repository☆140Updated 2 years ago
- ☆30Updated 6 years ago
- (WIP) Implementation of Creative Adversarial Networks https://arxiv.org/pdf/1706.07068.pdf☆222Updated 4 years ago
- Demo codes for scalable Machine Learning☆49Updated last year
- tutorial notebooks☆384Updated 6 years ago
- NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science☆130Updated 5 years ago
- Tensorflow example of a conv GAN on MNIST.☆89Updated 6 years ago
- ☆59Updated 2 years ago
- ICLR Reproducibility Challenge 2019☆219Updated 5 years ago
- ☆22Updated 4 years ago
- Code and assignment repository for the Imperial College Mathematics department Deep Learning course☆261Updated 5 years ago
- ☆161Updated 5 years ago
- Mathematics of Deep Learning, Courant Insititute, Spring 19☆272Updated 5 years ago
- ☆104Updated 5 years ago
- A Tensorflow implementation of GAN, WGAN and WGAN with gradient penalty.☆115Updated 6 years ago
- Code for "Understanding and Improving Interpolation in Autoencoders via an Adversarial Regularizer"☆242Updated 6 years ago
- Assignments of CS231n: Convolutional Neural Networks for Visual Recognition☆35Updated 6 years ago
- Some example scripts on pytorch☆194Updated 2 years ago
- SpecGAN - generate audio with adversarial training☆108Updated 6 years ago
- 3D-DCGAN trained on a corpus of 3D printable objects - as a result, the generations are usually 3D printable☆111Updated 6 years ago
- ☆124Updated 6 years ago