christiancosgrove

pytorch_geometric

Graph Neural Network Library for PyTorch

learning-to-learn

Learning to Learn in TensorFlow

tch-rs

Rust bindings for the C++ api of PyTorch.

gpt-2-output-dataset

Dataset of GPT-2 outputs for research in detection, biases, and more

sngan_projection

GANs with spectral normalization and projection discriminator

attention-learn-to-route

Attention based model for learning to solve different routing problems

self-attention-gan

rebound

💫 An open-source multi-purpose N-body code.

FreeFem-sources

FreeFEM source code

ncsn

Noise Conditional Score Networks (NeurIPS 2019, Oral)

LeakGAN

The codes of paper "Long Text Generation via Adversarial Training with Leaked Information" on AAAI 2018. Text generation using GAN and Hierarchical Reinforcement Learning.

clDNN

Compute Library for Deep Neural Networks (clDNN)

graph_comb_opt

Implementation of "Learning Combinatorial Optimization Algorithms over Graphs"

pytorch-i-revnet

i-RevNet Pytorch Code

ad

Automatic Differentiation

np-hard-deep-reinforcement-learning

pytorch neural combinatorial optimization

quantized.pytorch

self-attention-GAN-pytorch

This is an almost exact replica in PyTorch of the Tensorflow version of Self-Attention GAN released by Google Brain in August 2018.

DAG

Adversarial Examples for Semantic Segmentation and Object Detection

MIPVerify.jl

Evaluating Robustness of Neural Networks with Mixed Integer Programming

pytorch-revnet

Implementation of the reversible residual network in pytorch

LKH_TSP

A set of tools to solve TSP problems using the LKH solver

cuda

Haskell FFI bindings to CUDA

hed

OrganSegC2F

A coarse-to-fine framework for organ segmentation from abdominal CT scan

pytsp

Python interface to external TSP solvers

edgeval

FAT-fast-adjustable-threshold

This is th code to FAT method with links to quantized tflite models. (CC BY-NC-ND)

BMXNet

BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet

py-bsds500

Python port of the BSDS 500 evaluation suite