Pinned Repositories
Fast-And-Accurate-Text-Classification-Reproduction
Reproduction of "Fast and Accurate Text Classification" paper from ICLR 2018.
HOW-MUCH-POSITION-INFORMATION-DO-CONVOLUTIONAL-NEURAL-NETWORKS-ENCODE-
Reproduce the paper named 'HOW MUCH POSITION INFORMATION DO CONVOLUTIONAL NEURAL NETWORKS ENCODE?', which published as a conference paper at ICLR 2020.
music-transformer-comp6248
Re-implementation of music transformer paper published for ICLR 2019.
Reproducability-REFORMER
COMP6248-Reproducability-REFORMER
Reproduction-of-Probabilistic-binary-neural-networks
Reproduction of Probabilistic binary neural networks
ReviewOfPGGANs
Repo made just for submission to the ICLR reproducibility challenge
Self-supervised-deep-learning-on-point-clouds-by-reconstructing-space
Repository containing the code used in the reproducibility challenge coursework of the COMP6248 module at the University of Southampton
selfsupervised-denoising
High-Quality Self-Supervised Deep Image Denoising - Unofficial PyTorch implementation of the NeurIPS 2019 paper
SVAE
Spatial Variational Autoencoder
Swapping-Autoencoder-for-Deep-Image-Manipulation-Reproduction
Reproduction of the Park et al Swapping Autoencoder for Deep Image Manipulation 2020 Paper
COMP6248-Reproducability-Challenge's Repositories
COMP6248-Reproducability-Challenge/Fast-And-Accurate-Text-Classification-Reproduction
Reproduction of "Fast and Accurate Text Classification" paper from ICLR 2018.
COMP6248-Reproducability-Challenge/MULTILINGUAL-ALIGNMENT-OF-CONTEXTUAL-WORD-REPRESENTATIONS
(Attempted) Reproduction of the MULTILINGUAL ALIGNMENT OF CONTEXTUAL WORD REPRESENTATIONS paper from
COMP6248-Reproducability-Challenge/COMP6248-Top-k-Training-of-GANs-Reproduced-
COMP6248-Reproducability-Challenge/COMP6248-ImageDenoising
COMP6248-Reproducability-Challenge/Flowtron-Reproducability-Report
COMP6248-Reproducability-Challenge/Free-Lunch-for-Few-Shot-Learning
Reimplementation of the distribution calibration algorithm described in the paper: https://openreview.net/pdf?id=JWOiYxMG92s
COMP6248-Reproducability-Challenge/GNN-Assisted-TSP
COMP6248-Reproducability-Challenge/Latent-Image-Animator
COMP6248-Reproducability-Challenge/MaSS-optimiser
Github repository for our project
COMP6248-Reproducability-Challenge/Topological-CNN
Implementation of the Topological Convolution Neural Network described in https://openreview.net/forum?id=hntbh8Zo1V
COMP6248-Reproducability-Challenge/COMP6248-Reproducibility-Challenge-2022
COMP6248-Reproducability-Challenge/DropEdge
COMP6248-Reproducability-Challenge/fasterseg-results
COMP6248-Reproducability-Challenge/GAN2Shape-3D-Restruction
COMP6248-Reproducability-Challenge/Inspecting-Modularity
Partial re-implementation of https://github.com/RobertCsordas/modules/tree/efdb8790b074862581e035c9ab5bf889440a8023
COMP6248-Reproducability-Challenge/White-Noise-Analysis
COMP6248-Reproducability-Challenge/Yoto
Reimplementation of the yoto algorithm described in the paper: https://openreview.net/pdf?id=HyxY6JHKwr
COMP6248-Reproducability-Challenge/AutoNovel
COMP6248 Reproducability Challenge
COMP6248-Reproducability-Challenge/AutoNovel2
COMP6248-Reproducability-Challenge/DALLE2-pytorch
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
COMP6248-Reproducability-Challenge/Deconvlution-COMP6248-Reproducability-Challenge
reproduction of paper "Network Deconvolution" in ICLR 2020
COMP6248-Reproducability-Challenge/DL-COMP6248-Reproducability-Challenge
COMP6248-Reproducability-Challenge/Lambda-
COMP6248-Reproducability-Challenge/Neuron-Merging-Compensating-for-Pruned-Neurons
COMP6248-Reproducability-Challenge/Reproducability-Challenge-MiCE
COMP6248-Reproducability-Challenge/Reproducability-Challenge-of-N-BEATS
COMP6248-Reproducability-Challenge/reproduction-of-learnable-embed-sizes-for-recommender-systems
This repository correspons to the COMP6248-Reproducability-Challenge (2021-2022)
COMP6248-Reproducability-Challenge/score_sde_pytorch
PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
COMP6248-Reproducability-Challenge/T3DP_reproducibility_attempt
COMP6248-Reproducability-Challenge/U-GAT-IT-reproducibility