Dave S's repositories
A3C-CarRacingGym
A3C (Asynchronous Advantage Actor-Critic) deep reinforcement learning algoritm applied to the CarRacing-v0 gym running in a docker container
articles_codes
This repo contains all codes of the articles that I have published on Medium
Bringing-Old-Photos-Back-to-Life
Bringing Old Photo Back to Life (CVPR 2020 oral)
charts
Helm Charts
custom-auth-samples
Samples showcasing how to sign in Firebase using additional Identity Providers
DeepNude-an-Image-to-Image-technology
DeepNude's algorithm and general image generation theory and practice research, including pix2pix, CycleGAN, UGATIT, DCGAN, SinGAN, ALAE, mGANprior, StarGAN-v2 and VAE models (TensorFlow2 implementation). DeepNude的算法以及通用生成对抗网络（GAN,Generative Adversarial Network）图像生成的理论与实践研究。
DeepNude_NoWatermark_withModel
DeepNude source code，without watermark，with demo and model download link，one command to run offline，GAN/Pytorch/pix2pix/pic2pic
mediapipeDemos
Real-time Python demos for the mediapipe demos
mit-deep-learning
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
nextjs-blog-dummy
markdown
node-hello
Hello World for Node.js
nsfw_model
Keras model of NSFW detector
OpenAI-Reinforcement-Learning-with-Custom-Environment
This code accompanies the YouTube tutorial where we build a custom OpenAI environment for reinforcement learning.
policy-adaptation-during-deployment
Training code and evaluation benchmarks for the "Self-Supervised Policy Adaptation during Deployment" paper.
Reinforcement-Learning-for-Trading
A walkthrough of using the gym-anytrading environment for reinforcement learning applications leveraging custom datasets.
reinforcement-learning-implementation
Reinforcement Learning examples implementation and explanation
Reinforcement_Learning
Reinforcement learning tutorials
SEARL
Sample-Efficient Automated Deep Reinforcement Learning
simple-shop-template
A simple shop template using html , css , javascript with searchbar and filter. using SimpleStarRating as rating module.
t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
torchbeast
A PyTorch Platform for Distributed RL
Yahoo-Quandl-Market-Data-Donwloader
Matlab functions for market data downloading