GradientCrescent
GradientCrescent copied to clipboard
Host directory for all GradientCrescent and TowardsDataScience Deep Learning projects
GradientCrescent
Source directory for all projects on GradientCrescent or on Towards Data Science. All tutorial articles featuring code can be found within each linked repository.If you like a repository, please show your appreciate with a star for both this master repo and the target repo!
List of Publications
Building Offensive AI Agents for Doom using Dueling Deep Q-learning.
https://github.com/EXJUSTICE/Doom_DQN_GC
Building Improved AI agents for Doom using Double Deep Q-learning
https://github.com/EXJUSTICE/Doom_DQN_GC
Playing Doom with AI: Multi-objective optimization with Deep Q-learning
https://github.com/EXJUSTICE/Doom_DQN_GC
Generating Fake News with OpenAI’s Language Models
https://github.com/EXJUSTICE/gpt-2
Automating Doom with Deep Q-Learning: An Implementation in Tensorflow.
https://github.com/EXJUSTICE/Doom_DQN_GC
Detecting COVID-19 induced Pneumonia from Chest X-rays with Transfer Learning: An implementation in Tensorflow and Keras.
https://github.com/EXJUSTICE/COVID19_Detection_Transfer_Learning_VGG16
How to Win a Hackathon - Real-time Mobile Wildfire Detection in Tensorflow Lite.
https://github.com/EXJUSTICE/Sammuta
Optimized Deep Q-learning for Automated Atari Space Invaders: An Implementation in Tensorflow 2.0.
https://github.com/EXJUSTICE/Optimized_DQN_OpenAI_SpaceInvaders
Fundamentals of Reinforcement Learning: Automating Pac-man with Deep Q-learning: An Implementation in Tensorflow.
https://github.com/EXJUSTICE/Deep_Q-learning_OpenAI_MissPacman
Fundamentals of Reinforcement Learning: Understanding Blackjack Strategy through Monte Carlo Methods
https://github.com/EXJUSTICE/MonteCarlo_Blackjack_Visualization
Fundamentals of Reinforcement Learning: Automating Pong in using a Policy Model— an Implementation in Keras
https://github.com/EXJUSTICE/Pong_OpenAI_Keras
Capturing Beauty — Hybrid Incremental Learning for AI-powered Tinder profile swiping : An Implementation in Keras.
https://github.com/EXJUSTICE/Tinder_Incremental_Learning
Seeing is Believing — Mesoscopic Neural Networks for Synthetic Image Detection: an Implementation in Keras and TensorFlow
https://github.com/EXJUSTICE/StyleGAN_MesoscopicNeuralNetworks
Into the Cageverse — Deepfaking with Autoencoders: An Implementation in Keras and Tensorflow
https://github.com/EXJUSTICE/DeepFake_FaceSwap
Foreseeing Armageddon: Could AI have Predicted the Financial Crisis? A Scenario Study using Recurrent Neural Networks
https://github.com/EXJUSTICE/RNN-LSTM-Foreseeing_the_Financial_Crisis
Generating Believable Tinder Profiles using AI: Adversarial & Recurrent Neural Networks in Multimodal Content Generation
https://github.com/EXJUSTICE/StyleGAN-RNN-Tinder_profile_generation
ThisPresidentDoesNotExist: Generating Artistic Presidential Portraits using Style-based Adversarial Networks and Transfer Learning: Theory and Implementation in Tensorflow
https://github.com/EXJUSTICE/StyleGAN-TrumpPortraits
Applying Sentiment Analysis to E-commerce classification using Recurrent Neural Networks in Keras: Theory and Implementation
https://github.com/EXJUSTICE/RNN-Product-Classification-NDSC2019
Urban Sound Classification using Convolutional Neural Networks with Keras: Theory and Implementation
https://github.com/EXJUSTICE/Urban_Sound_Classification
Generating extinct Japanese script with Adversarial Autoencoders: Theory and Implementation
https://github.com/EXJUSTICE/KMNIST-GAN
Building a Malaria Classifier with Keras: Background & Implementation
https://github.com/EXJUSTICE/Keras-Malaria-Cell-Classification