takerum

gta

[ICLR'24] GTA: A Geometry-Aware Attention Mechanism for Multi-view Transformers

sngan_projection

GANs with spectral normalization and projection discriminator

adversarial_autoencoder

Implementation of Adversarial Autoencoder with Theano

meta_sequential_prediction

models

Models built with TensorFlow

vae

Implementation of Variational Auto Encoder with Chainer

vat

Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"

vat_chainer

Implementation of Virtual adversarial training with chainer

vat_tf

Virtual adversarial training with Tensorflow

takerum/vat_tf

Virtual adversarial training with Tensorflow

takerum/vat

Code for reproducing the results on the MNIST dataset in the paper "Distributional Smoothing with Virtual Adversarial Training"

takerum/adversarial_autoencoder

Implementation of Adversarial Autoencoder with Theano

takerum/vat_chainer

Implementation of Virtual adversarial training with chainer

takerum/meta_sequential_prediction

takerum/models

Models built with TensorFlow

takerum/vae

Implementation of Variational Auto Encoder with Chainer

takerum/certifiable-distributional-robustness

Certifying Some Distributional Robustness with Principled Adversarial Training (https://arxiv.org/abs/1710.10571)

takerum/chainer

A flexible framework of neural networks for deep learning

takerum/chainer-gan-lib

Chainer implementation of recent GAN variants

takerum/chainer-ResNet

Deep Residual Network implementation by Chainer

takerum/cupy

NumPy-like API accelerated with CUDA

takerum/diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

takerum/DiT

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

takerum/EscherNet

EscherNet: A Generative Model for Scalable View Synthesis

takerum/LSGAN

Chainer implementation of Least Squares GAN (LSGAN)

takerum/mini-ImageNet

Generate mini-ImageNet with ImageNet for fewshot learning

takerum/Prototypical-Networks-for-Few-shot-Learning-PyTorch

Implementation of Prototypical Networks for Few Shot Learning (https://arxiv.org/abs/1703.05175) in Pytorch

takerum/pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

takerum/Sprites

Sprites video data used in the ICML 2018 paper

takerum/srt

Independent PyTorch implementation of Scene Representation Transformer

takerum/StackGAN

takerum/tensorflow-resnet

ResNet model in TensorFlow

takerum/vision

Datasets, Transforms and Models specific to Computer Vision