junweima / Deep-Learning-Resources
Online courses and books I use for ML & CV, Math, CompSci and others
☆14Updated 6 years ago
Alternatives and similar repositories for Deep-Learning-Resources:
Users that are interested in Deep-Learning-Resources are comparing it to the libraries listed below
- This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo comp…☆43Updated 6 years ago
- Loss Patterns of Neural Networks☆83Updated 3 years ago
- PyTorch implementation of DRAW: A Recurrent Neural Network For Image Generation trained on Devanagari dataset.☆89Updated 4 years ago
- A tutorial example for nbdev☆15Updated 2 years ago
- Synthetic book pages created with a PGGAN☆73Updated 6 years ago
- NYU PSYCH-GA 3405.001 / DS-GA 3001.014 : Advancing AI through cognitive science☆131Updated 5 years ago
- Basic experiment framework for tensorflow.☆92Updated 3 years ago
- A (possibly/eventually annotated?) collection of resources (books, demos, lectures, etc) that I personally like for various topics in mac…☆32Updated 6 years ago
- 2019 talk at GECCO☆68Updated 5 years ago
- A lightweight library for tensorflow 2.0☆66Updated 5 years ago
- presentations☆44Updated 6 years ago
- Learning some numerical linear algebra.☆71Updated 4 years ago
- My machine learning paper notes☆44Updated 8 years ago
- trained sketch-rnn / deployed with sketch-rnn-js on flowchart dataset☆36Updated 4 years ago
- Implementation of various Reinforcement Learning Algorithms☆27Updated 7 years ago
- Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses☆183Updated last year
- Pytorch Cheatsheet☆91Updated 6 years ago
- Official Tensorflow implementation of the paper "Y-Autoencoders: disentangling latent representations via sequential-encoding", Pattern R…☆52Updated 4 years ago
- Yes you GAN!☆34Updated 3 years ago
- Mixture Density Networks (Bishop, 1994) tutorial in JAX☆58Updated 4 years ago
- A demonstration of the attention mechanism with some toy experiments and explanations.☆106Updated 6 years ago
- A collection of notebooks aiding the understanding of machine-learning papers.☆10Updated 3 years ago
- Deep RL Bootcamp solutions☆35Updated 7 years ago
- [NeurIPS'19] [PyTorch] Adaptive Regularization in NN☆67Updated 5 years ago
- Paper reading list☆16Updated 4 years ago
- Weekly humanitarian AI reading group at Mila.☆21Updated 5 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆57Updated 6 years ago
- Material for my Caltech tutorial on deep learning and tensor methods☆69Updated 6 years ago
- Prescribed Generative Adversarial Networks☆143Updated 4 years ago
- TensorFlow implementation of CipherGAN☆122Updated last year