vedantsingh1404

TinyImagenetC-Loader

TinyImagenetC - Loader

awesome-solidity

⟠ A curated list of awesome Solidity resources, libraries, tools and more

active_learning_coreset

Source code for ICLR 2018 Paper: Active Learning for Convolutional Neural Networks: A Core-Set Approach

active-learning

CloserLookFewShot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

efficient-t2i

Official implementation of the paper Efficient Neural Architecture for Text-to-Image Synthesis.

sngan_projection

GANs with spectral normalization and projection discriminator

ALAE

[CVPR2020] Adversarial Latent Autoencoders

style-based-gan-pytorch

Implementation A Style-Based Generator Architecture for Generative Adversarial Networks in PyTorch

imagenet-r

ImageNet-R(endition) and DeepAugment (ICCV 2021)

game-of-noise

Trained model weights, training and evaluation code from the paper "A simple way to make neural networks robust against diverse image corruptions"

Stylized-ImageNet

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

augmix

AugMix: A Simple Data Processing Method to Improve Robustness and Uncertainty

awesome-grounding

awesome grounding: A curated list of research papers in visual grounding

vidaug

Effective Video Augmentation Techniques for Training Convolutional Neural Networks

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

SlowFast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

video-classification-3d-cnn-pytorch

Video classification tools using 3D ResNet

Awsome-Deep-Learning-for-Video-Analysis

Papers, code and datasets about deep learning and multi-modal learning for video analysis

adversarial-examples-pytorch

Implementation of Papers on Adversarial Examples

LAT_adversarial_robustness

CURE_robustness

Implemented CURE algorithm from robustness via curvature regularization and vice versa

awesome-computer-vision

A curated list of awesome computer vision resources

vim-tmux-runner

Vim and tmux, sittin' in a tree...

awesome-few-shot-learning

A curated list of resources about few-shot and one-shot learning

awesome-zero-shot-learning

A curated list of papers, code and resources pertaining to zero shot learning

markdown-here

Google Chrome, Firefox, and Thunderbird extension that lets you write email in Markdown and render it before sending.

visual-attribution

Pytorch Implementation of recent visual attribution methods for model interpretability

texture-vs-shape

Pre-trained models, data, code & materials from the paper "ImageNet-trained CNNs are biased towards texture; increasing shape bias improves accuracy and robustness" (ICLR 2019 Oral)

Vundle.vim

Vundle, the plug-in manager for Vim