cantren's repositories
cantren.github.io
SimBox WebGL via three.js
prog_gans_pytorch_inference
PyTorch inference for "Progressive Growing of GANs" with CelebA snapshot
awesome-public-datasets
A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!
cheatsheets-ai
Essential Cheat Sheets for deep learning and machine learning researchers
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep-Learning-in-Python
Hands-on, practical knowledge of how to use neural networks and deep learning with Keras 2.0
deep-learning-model-convertor
The convertor/conversion of deep learning models for different deep learning frameworks/softwares.
deep-neuroevolution
Deep Neuroevolution
DeepLabV3Plus-Pytorch
DeepLabv3 and DeepLabv3+ with pretrained weights for Pascal VOC & Cityscapes
fast-wavenet
Speedy Wavenet generation using dynamic programming :zap:
generative-adversarial-networks
Introduction to generative adversarial networks, with code to accompany the O'Reilly tutorial on GANs
ntm-one-shot
One-shot Learning with Memory-Augmented Neural Networks
pytorch-hessian-eigenthings
Efficient PyTorch Hessian eigendecomposition tools!
Recurrent-Environment-Simulators
Deepmind Recurrent Environment Simulators paper implementation in tensorflow
reinforcement-learning
Minimal and Clean Reinforcement Learning Examples
Segmentation-Experiment
Using Keras (U-Net architecture) to segment shapes on noise.
sigopt-examples
Optimization Examples with SigOpt
Tensorflow-Programs-and-Tutorials
Implementations of CNNs, RNNs, GANs, etc
tf-workshop-series
Code, Slides, & Materials for our Tensorflow Workshop Series
v4l2loopback
v4l2-loopback device
PyOptimizerBenchmark
A simple python class to evaluate and compare numeric optimizer performance.