Pinned Repositories
Awesome-Sketch-Based-Applications
:books: A collection of sketch based application papers.
CSCCT
Official Implementation of the ECCV 2022 Paper "Class-Incremental Learning with Cross-Space Clustering and Controlled Transfer"
Gaussian-Poisson-GANs-For-Image-Blending
Blending composite images using a generative model and a Gaussian-Poisson equation with a Laplacian Pyramid
MLRC-2021-Few-Shot-Learning-And-Self-Supervision
Does Self-supervision Always Improve Few-shot Learning? - MLRC 2021 and ReScience-C
Monocular-Depth-Estimation
Depth estimation from single-view RGB images
pytorch-transformer-ts
Repository of Transformer based PyTorch Time Series Models
Zero-Shot-Sketch-Based-Image-Retrieval
Zero-shot sketch-based image retrieval using a domain adversarial neural network
context-is-key-forecasting
Context is Key: A Benchmark for Forecasting with Essential Textual Information
TACTiS
TACTiS-2: Better, Faster, Simpler Attentional Copulas for Multivariate Time Series, from ServiceNow Research
lag-llama
Lag-Llama: Towards Foundation Models for Probabilistic Time Series Forecasting
ashok-arjun's Repositories
ashok-arjun/advertorch
A Toolbox for Adversarial Robustness Research
ashok-arjun/berkeley-deep-rl-course
Assignments for CS294-112.
ashok-arjun/continuum
A clean and simple data loading library for Continual Learning
ashok-arjun/CPR_CL
The Official Code of CPR (ICLR 2021)
ashok-arjun/CTrLBenchmark-original
Benchmark for Lifelong learning research
ashok-arjun/CVPR21_PASS
PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"
ashok-arjun/DomainBed
DomainBed is a suite to test domain generalization algorithms
ashok-arjun/FACIL-original
Framework for Analysis of Class-Incremental Learning with 12 state-of-the-art methods and 3 baselines.
ashok-arjun/fair-mixup
ICLR 2021, Fair Mixup: Fairness via Interpolation
ashok-arjun/gdown
Download a large file from Google Drive (curl/wget fails because of the security notice).
ashok-arjun/google-drive-upload
Bash scripts to upload files to google drive
ashok-arjun/igc
ashok-arjun/image-classification-codebase
Image Classification Codebase with PyTorch
ashok-arjun/leaf
Leaf: A Benchmark for Federated Settings
ashok-arjun/lipsync
Lip Synchronization (Wav2Lip).
ashok-arjun/natural-instructions-expansion
Expanding natural instructions
ashok-arjun/neural-structural-optimization
Neural reparameterization improves structural optimization
ashok-arjun/NNIF_adv_defense
Detection of adversarial examples using influence functions and nearest neighbors
ashok-arjun/pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
ashok-arjun/pytorch-deep-generative-replay
PyTorch implementation of "Continual Learning with Deep Generative Replay", NIPS 2017
ashok-arjun/pytorch-fcn
PyTorch Implementation of Fully Convolutional Networks. (Training code to reproduce the original result is available.)
ashok-arjun/pytorch-fgvc-dataset
PyTorch custom dataset APIs -- CUB-200-2011, Stanford Dogs, Stanford Cars, FGVC Aircraft, NABirds, Tiny ImageNet, iNaturalist2017
ashok-arjun/pytorch_resnet_cifar10
Proper implementation of ResNet-s for CIFAR10/100 in pytorch that matches description of the original paper.
ashok-arjun/RehearsalRevealed
Official codebase of the "Rehearsal revealed:The limits and merits of revisiting samples in continual learning" paper.
ashok-arjun/SelfTime
Fork of SelfTime
ashok-arjun/simple-super-resolution
Image super-resolution implementations
ashok-arjun/SRGAN-PyTorch
A simple and complete implementation of super-resolution paper.
ashok-arjun/train-efficientnet-with-imagenet
ashok-arjun/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation and Finetune.
ashok-arjun/Wav2Lip
This repository contains the codes of "A Lip Sync Expert Is All You Need for Speech to Lip Generation In the Wild", published at ACM Multimedia 2020.