Khurram Javed

mrcl. Code for the NeurIPS19 paper "Meta-Learning Representations for Continual Learning"

recursive-cnns. Implementation of the paper "Real-time Document Localization in Natural Images by Recursive Application of a CNN."

incremental-learning. Pytorch implementation of ACCV18 paper "Revisiting Distillation and Incremental Classifier Learning."

awesome-continual-learning. A repository to keep track of literature on catastrophic forgetting

swifttd. A fast and robust algorithm for temporal difference learning

online-causal-models. Accompanying code for the paper "Learning Causal Models Online"

atari-prediction-benchmark. Python

real-time-networks. Distributed and Dynamic Neural Network for Generate and Test based Representation Learning

swift-sarsa. Upcoming paper on efficient and robust linear control

columnar-constructive-networks. Code for the JMLR paper "Scalable Real-Time Recurrent Learning Using Columnar-Constructive Networks"

real-time-backprop. Gradient estimation in deep networks without sync delays

attention-is-all-you-need-pytorch. A PyTorch implementation of the Transformer model in "Attention is All You Need".

roadway_intel. An intelligent Vehicle Surveillane System based on Deep Learning and AI.

baby-transfomers. A repo for efficiently experimenting with small transformer models that can run efficiently on a single CPU core (For academic purposes).

MAML-Pytorch. Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

compute_canada_sql_demo. Boilerplate code for logging data to a mysql database

The-big-world-hypothesis. Code for the paper on the big world hypothesis

real-time-rl-environments. Async version of atari learning environment.

columnar_networks_pip.

experiment. Experiment module to make experiments more reproducible and easy to run