TanmDL

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

recommenders

Best Practices on Recommendation Systems

Swin-Transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

Awesome-Transformer-Attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

marqo

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

loss-landscape

Code for visualizing the loss landscape of neural nets

benchmark_VAE

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

lightweight-gan

Implementation of 'lightweight' GAN, proposed in ICLR 2021, in Pytorch. High resolution image generations that can be trained within a day or two

mlp-mixer-pytorch

An All-MLP solution for Vision, from Google AI

how-do-vits-work

(ICLR 2022 Spotlight) Official PyTorch implementation of "How Do Vision Transformers Work?"

LIA

[ICLR 22] Latent Image Animator: Learning to Animate Images via Latent Space Navigation

l2p

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

sharpened-cosine-similarity

An alternative to convolution in neural networks

dl-with-bayes

Contains code for the NeurIPS 2019 paper "Practical Deep Learning with Bayesian Principles"

Awesome-Few-Shot-Class-Incremental-Learning

Awesome Few-Shot Class-Incremental Learning

pytorch-auto-augment

PyTorch implementation of AutoAugment.

pytorch-image-generation-metrics

Pytorch implementation of common image generation metrics.

Interactive-Multi-Class-Tiny-Object-Detection

Instructions-of-the-PersonX-dataset

Images of the PerxonX dataset and the original 3D human models of this dataset

gnosis

Code to reproduce experiments from 'Does Knowledge Distillation Really Work' a paper which appeared in the 2021 NeurIPS proceedings.

MEAT-TIL

CVPR2022: Meta-attention for ViT-backed Continual Learning

Elastic-Impedance-Inversion-Using-Recurrent-Neural-Networks

Codes and data for the paper: M. Alfarraj, and G. AlRegib, "Semi-Supervised Sequence Modeling for Elastic Impedance Inversion," in Interpretation, Aug. 2019

Transductive_ZSL_3D_Point_Cloud

Implementation of "Transductive Zero-Shot Learning for 3D Point Cloud Classification"

IT-GAN

twf

Official codebase for the ECCV 2022 paper Transfer without Forgetting

pure-noise

Official implementation for "Pure Noise to the Rescue of Insufficient Data: Improving Imbalanced Classification by Training on Random Noise Images" https://arxiv.org/abs/2112.08810

LPM

AYDIV2

AICIG