ajakash Goto Github PK

activitygraph_transformer

autobots

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

cmpt884-fall16

SFU's Graduate Seminar on "Human-in-the-loop Data Management"

deep-image-prior

Image restoration with neural networks but without learning.

draw

Torch implementation of DRAW: A Recurrent Neural Network For Image Generation

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

image-to-set

The project is about predicting sets (of classes) from images.

jule-torch

Project for our CVPR2016 paper "Joint Unsupervised Learning of Deep Representations and Image Clusters"

minimal

Minimal is a Jekyll theme for GitHub Pages

models

Models built with TensorFlow

moma

A dataset for multi-object multi-actor activity parsing

naomi

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

neurips18_hierchical_image_manipulation

Pytorch Implementation of NeurIPS'18 paper on Generative Image Manipulation with Hierarchical Semantic Structures

nn

playground

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

tensorflow

Computation using data flow graphs for scalable machine learning

timesformer

The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"

torch7

http://torch.ch

video-swin-transformer

This is an official implementation for "Video Swin Transformers".

videomae

[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training

vqa.pytorch

Visual Question Answering in Pytorch

xplorepanoptic

explore coco dataset for image generation