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attention-tsp

Attention based model for learning to solve the Travelling Salesman Problem

bayes-by-backprob

Tensorflow implementation of Bayes by Backprob algorithm, introduced in "Weight Uncertainty in Neural Networks" (https://arxiv.org/abs/1505.05424), by Charles Blundell, Julien Cornebise, Koray Kavukcuoglu, Daan Wierstra.

bayesbyhypernet

Code for the paper Implicit Weight Uncertainty in Neural Networks

bayesgan

Tensorflow code for the Bayesian GAN (https://arxiv.org/abs/1705.09558) (NIPS 2017)

bayesian-rnn

bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

clrs

:notebook:Solutions to Introduction to Algorithms

complexvaluedcnn

Complex Valued CNN

cpc

Implementation of Representation Learning with Contrastive Predictive Coding Paper (https://arxiv.org/abs/1807.03748).

deepul

deploying-machine-learning-models

Example Repo for the Udemy Course "Deployment of Machine Learning Models"

i2i-lr

Official pytorch implementation of I2I translation with low resolution conditioning

ml-sghmc

Experiment code for Stochastic Gradient Hamiltonian Monte Carlo

models

Models built with TensorFlow

odm-import

playground

PlayGround: AI Research into Multi-Agent Learning.

pose-tensorflow

Human Pose estimation with TensorFlow framework

ppocma

practical_rl

A course in reinforcement learning in the wild

probability

Probabilistic reasoning and statistical analysis in TensorFlow

rl-cheatsheet

RL Notation and Pseudocode for Udacity's MLND program

rl_project

My Deep learning project : Training a robot in MuJoCo with RL

stargan-v2

StarGAN v2 - Official PyTorch Implementation (CVPR 2020)

tf-pose-estimation

Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference.

travelgan

Implementation of " TraVeLGAN: Image-to-image Translation by Transformation Vector Learning " CVPR 2019 https://arxiv.org/abs/1902.09631

vq-vae-2-pytorch

Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch