This folder contains code to run experiments in the paper Meta-Learning to Improve Pre-Training, NeurIPS 2021. Please refer to the README files in the multitask/ and simclr folders for experiments in the mutlitask PT and self-supervised PT domains, respectively.
We also include a self-contained notebook that can be run on Google Colab to examine the synthetic MNIST data augmentation domain here.
Playground for CLIP-like models Demo Colab Link GradCAM Visualization Naive Zero-shot Detection Smarter Zero-shot Detection Captcha Solver Changelog 2
DR-GAN: Automatic Radial Distortion Rectification Using Conditional GAN in Real-Time Introduction This is official implementation for DR-GAN (IEEE TCS
PCGNN - Procedural Content Generation with NEAT and Novelty Generation Approach — Metrics — Paper — Poster — Examples PCGNN - Procedural Content Gener
Keep CALM and Improve Visual Feature Attribution Jae Myung Kim1*, Junsuk Choe1*, Zeynep Akata2, Seong Joon Oh1† * Equal contribution † Corresponding a
Overview This is the official repo for the paper: "NÜWA: Visual Synthesis Pre-training for Neural visUal World creAtion". NÜWA is a unified multimodal
Piggyback: https://arxiv.org/abs/1801.06519 Pretrained masks and backbones are available here: https://uofi.box.com/s/c5kixsvtrghu9yj51yb1oe853ltdfz4q
PoseRBPF: A Rao-Blackwellized Particle Filter for 6D Object Pose Tracking PoseRBPF Paper Self-supervision Paper Pose Estimation Video Robot Manipulati
U-Net for brain segmentation U-Net implementation in PyTorch for FLAIR abnormality segmentation in brain MRI based on a deep learning segmentation alg
HFGI: High-Fidelity GAN Inversion for Image Attribute Editing High-Fidelity GAN Inversion for Image Attribute Editing Update: We released the inferenc
fmpytorch A library for factorization machines in pytorch. A factorization machine is like a linear model, except multiplicative interaction terms bet
Mask2Former: Masked-attention Mask Transformer for Universal Image Segmentation in TensorFlow 2 Bowen Cheng, Ishan Misra, Alexander G. Schwing, Alexan
A tutorial showing how to train, convert, and run TensorFlow Lite object detection models on Android devices, the Raspberry Pi, and more!
Pearl The Parallel Evolutionary and Reinforcement Learning Library (Pearl) is a pytorch based package with the goal of being excellent for rapid proto
Good Semi-Supervised Learning that Requires a Bad GAN This is the code we used in our paper Good Semi-supervised Learning that Requires a Bad GAN Ziha
Style-based Drum Synthesis with GAN Inversion Demo TensorFlow implementation of a style-based version of the adversarial drum synth (ADS) from the pap
Blockchain-enabled Server-less Federated Learning Repository containing the files used to reproduce the results of the publication "Blockchain-enabled
iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis iPOKE: Poking a Still Image for Controlled Stochastic Video Synthesis Andreas Bl
Few-shot Semantic Image Synthesis Using StyleGAN Prior Our method can synthesize photorealistic images from dense or sparse semantic annotations using
DeepSDF This is an implementation of the CVPR '19 paper "DeepSDF: Learning Continuous Signed Distance Functions for Shape Representation" by Park et a
An index of recommendation algorithms that are based on Graph Neural Networks.
101 Dec 30, 2022
18 Dec 23, 2022
8 Dec 10, 2022
90 Dec 07, 2022
2.6k Jan 03, 2023
165 Nov 22, 2022
107 Dec 25, 2022
562 Jan 02, 2023
371 Dec 30, 2022
167 Jul 06, 2022
1 Dec 16, 2021
1.3k Jan 02, 2023
38 Jan 01, 2023
177 Dec 12, 2022
29 Nov 19, 2022
9 Sep 27, 2022
36 Dec 25, 2022
40 Sep 26, 2022
1.1k Jan 01, 2023
564 Jan 07, 2023