1jsingh
Ph.D. Candidate at Australian National University. Interests: Controllable Image Synthesis, Creative Content Generation. Intern @facebookresearch, @Adobe
Australian National UniversityCanberra, Australia
Pinned Repositories
alphazero_tictactoe
Implementation of alphazero learning algorithm for 6-6-4 Tictactoe
Divide-Evaluate-and-Refine
Repo for our NeurIPS 2023 paper on: Divide, Evaluate, and Refine: Evaluating and Improving Text-to-Image Alignment with Iterative VQA Feedback
GradOP-Guided-Image-Synthesis
Repo for our CVPR 2023 paper on "High-Fidelity Guided Image Synthesis with Latent Diffusion Models"
MADDPG
Solving a Physical Deception problem using Multi-Agent Deep Deterministic Policy Gradient approach
paint2pix
Repo for our ECCV 2022 paper on "Paint2Pix: Interactive Painting based Progressive Image Synthesis and Editing"
rl_navigation
Navigating a banana world using Dueling Double DQN network
RL_quadcopter
Teaching a quadcopter to fly using Reinforcement Learning (DDPG algorithm) in Pytorch
semantic-guidance
Code for our CVPR-2021 paper on Combining Semantic Guidance and Deep Reinforcement Learning For Generating Human Level Paintings.
OpenHands
🙌 OpenHands: Code Less, Make More
glow
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
1jsingh's Repositories
1jsingh/RL_quadcopter
Teaching a quadcopter to fly using Reinforcement Learning (DDPG algorithm) in Pytorch
1jsingh/alphazero_tictactoe
Implementation of alphazero learning algorithm for 6-6-4 Tictactoe
1jsingh/MADDPG
Solving a Physical Deception problem using Multi-Agent Deep Deterministic Policy Gradient approach
1jsingh/rl_navigation
Navigating a banana world using Dueling Double DQN network
1jsingh/face_generation
Human and anime face generation using GANs in Tensorflow
1jsingh/REINFORCE
Implementation of REINFORCE algorithm in Pytorch
1jsingh/rl_bipedal
Solving OpenAI gym's Bipedal environment using Proximal Policy Optimization (PPO)
1jsingh/rl_crawler
Train a 4 legged crawling agent to walk using Proximal Policy Optimization(PPO)
1jsingh/rl_dqn
Implementation of Dueling Double DQN (DDQN) algorithm with prioritized experience replay for Atari games
1jsingh/artificial-intelligence
1jsingh/bamos.github.io
1jsingh/baselines
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
1jsingh/coinrun
Code for the paper "Quantifying Transfer in Reinforcement Learning"
1jsingh/CVND---Image-Captioning-Project
1jsingh/Data-Structures-using-Python
This is my repository for Data Structures using Python
1jsingh/gen_text
Tensorflow based implementation for char-RNN based text generation
1jsingh/github-markdown-toc
Easy TOC creation for GitHub README.md
1jsingh/lil-log
Lilian's Blog
1jsingh/ml-agents
Unity Machine Learning Agents Toolkit
1jsingh/neural-finetuning
Finetuning Convolutional Neural Networks using Neural Activation Data
1jsingh/ppo
Implementation of Proximal Policy Optimization (PPO) in Pytorch
1jsingh/pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
1jsingh/pytorch-generative-model-collections
Collection of generative models in Pytorch version.
1jsingh/RL_benchmark
Implementation of Benchmark Reinforcement Learning Algorithms in Pytorch
1jsingh/rl_pong
Train a RL agent to play Pong using Proximal Policy Optimization (PPO)
1jsingh/rl_reacher
Train double-jointed arms to reach target locations using Proximal Policy Optimization (PPO) in Pytorch
1jsingh/rl_tennis
Training a pair of competing RL agents to play Tennis using MADDPG algorithm
1jsingh/savn
Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)
1jsingh/spinningup
An educational resource to help anyone learn deep reinforcement learning.
1jsingh/spinningup-RL
Pytorch Implementation for an educational resource by OpenAI to help anyone learn deep reinforcement learning