ajaysub110 Goto Github PK

a-neural-compositional-paradigm-for-image-captioning

Implementation of 'A Neural Compositional Paradigm for Image Captioning' by B. Dai, S.Fidler, D. Lin

ajaysub110

ajaysub110.github.io

atari-ai

A deep reinforcement learning agent for Atari games, using keras and tensorflow

bo_attack

Targeted black-box adversarial attack using Bayesian Optimization

codefundopp-dirac

An app that facilitates collaboration between people, authorities and various Non-Govermental organizations that provide relief and emergency aid when a region is affected by a natural disaster.

critical-band-masking

Code for the NeurIPS 2023 paper "Spatial-frequency channels, shape bias, and adversarial robustness"

decentleague

deep-learning-tip

deepchem

Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology

detectron2

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

ds-net

Dynamic Slimmable Network (CVPR 2021, Oral)

genn

GeNN is a GPU-enhanced Neuronal Network simulation environment based on code generation for Nvidia CUDA.

genn_examples

Some simple attempts at building GENN models

genrl

imagecompress

An android app to compress and upload images to a cloud database

imageupload

Android app to compress and upload images to a GCS bucket

lgn

Simulating variation of spike synchrony and periodicity with synaptic conductance on sPyNNaker model of LGN

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mnist-pygenn

Implementation of the paper 'Unsupervised learning of digit recognition using spike-timing-dependent plasticity' by Peter Diehl and Matthew Cook, using the PyGeNN (Python interface of GeNN) SNN framework

new_site

website

paper-a-day

keeps the doctor away

paper-a-week

pytorch-scalable-neural-networks

A pytorch implement of scalable neural netowrks.

pytorch-soft-actor-critic

PyTorch implementation of soft actor critic

rlin200lines

PyTorch implementations of Reinforcement Learning algorithms in less than 200 lines

saidl-2019-induction-assignment

saidl-winter-assignment-2018

Solution to Assignment given by SAiDL in the winter of 2018

satbench

Benchmarking the speed-accuracy tradeoff in object recognition by humans and dynamic neural networks

segmentation