SKT A.X LLM 3.1

SKT A.X LLM 4.0

Korean BERT pre-trained cased (KoBERT)

Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"

PyTorch implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

Official implementation of "Learning to Discover Cross-Domain Relations with Generative Adversarial Networks"

A platform for developing AI systems as described in A Roadmap towards Machine Intelligence - http://arxiv.org/abs/1511.08130

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Benchmark and resources for single super-resolution algorithms

A curated list of resources dedicated to StarCraft AI.

A Caffe-based implementation of very deep convolution network for image super-resolution

A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"

Bayesian Program Learning model for one-shot learning

"End-To-End Memory Networks" in Tensorflow

A parser for Google Scholar, written in Python

Fast R-CNN

Faster R-CNN

📄 Awesome CV is LaTeX template for your outstanding job application

Reinforcement learning resources curated

Memory Networks implementations

Character-level Convolutional Networks for Text Classification

Structured Edge Detection Toolbox

Piotr's Image & Video Matlab Toolbox

The open source frontend for GitBook doc sites

Traffic sign recognition with Torch

This is the code used for the paper "Inferring algorithmic patterns with a stack augmented recurrent network", by Armand Joulin and Tomas Mikolov.

Torch implementation of neural style algorithm