[Blog] [Paper] [Model Card] [Usage]
This is the official PyTorch package for the discrete VAE used for DALL·E.
Before running the example notebook, you will need to install the package using
pip install git+https://github.com/openai/DALL-E.git
Neuron Merging: Compensating for Pruned Neurons Pytorch implementation of Neuron Merging: Compensating for Pruned Neurons, accepted at 34th Conference
LLVM-based compiler for LightGBM gradient-boosted trees. Speeds up prediction by ≥10x.
Improving Contrastive Learning on Imbalanced Data via Open-World Sampling Introduction Contrastive learning approaches have achieved great success in
RetinaNet An implementation of RetinaNet in PyTorch. Installation Training COCO 2017 Pascal VOC Custom Dataset Evaluation Todo Credits Installation In
Multispectral-Object-Detection Intro Official Code for Cross-Modality Fusion Transformer for Multispectral Object Detection. Multispectral Object Dete
Notice(2019.11.2) This repo was built back two years ago when there were no pytorch detection implementation that can achieve reasonable performance.
BossNAS This repository contains PyTorch evaluation code, retraining code and pretrained models of our paper: BossNAS: Exploring Hybrid CNN-transforme
3D-GMPDCNN Geological Modeling Using 3D Pixel-Adaptive and Deformable Convolutional Neural Network PyTorch implementation of "Geological Modeling Usin
This repository is the official PyTorch implementation of Cascaded Deep Video Deblurring Using Temporal Sharpness Prior and Non-local Spatial-Temporal Similarity
Totally Versatile Miscellania for PyTorch Thomas Viehmann [email protected] Thi
Temporally Efficient Vision Transformer for Video Instance Segmentation Temporally Efficient Vision Transformer for Video Instance Segmentation (CVPR
DCDicL for Image Denoising Hongyi Zheng*, Hongwei Yong*, Lei Zhang, "Deep Convolutional Dictionary Learning for Image Denoising," in CVPR 2021. (* Equ
CS3244-Tutorial-Material All supplementary material used by me while TA-ing CS3244: Machine Learning at NUS School of Computing. What is this? I teach
Predictive Auto-scaling with OpenStack Monasca Giacomo Lanciano*, Filippo Galli, Tommaso Cucinotta, Davide Bacciu, Andrea Passarella 2021 IEEE/ACM 14t
Datalog is a popular query language with applications in several domains. Like any complex piece of software, Datalog engines may contain bugs. The mo
The accompanying codes reproduce all figures and statistics presented in "Controlling for multiple covariates" by Mark Tygert. This repository also pr
ScaleNet: A Shallow Architecture for Scale Estimation Repository for the code of ScaleNet paper: "ScaleNet: A Shallow Architecture for Scale Estimatio
sklearn-genetic Genetic feature selection module for scikit-learn Genetic algorithms mimic the process of natural selection to search for optimal valu
Bloons TD Battles 2 EXP Grinder Auto grind btdb2 exp for towers Setup I suggest checking out every screenshot to see what they are supposed to be, so
SuRE Evaluation: A Supplementary Material This repository contains supplementary material regarding the evaluations presented in the paper Visual Expl
33 Dec 30, 2022
183 Jan 02, 2023
24 Dec 17, 2022
297 Jan 04, 2023
121 Jan 01, 2023
1.8k Jan 01, 2023
127 Dec 26, 2022
5 Nov 21, 2022
4 Dec 11, 2022
428 Dec 28, 2022
203 Dec 31, 2022
91 Dec 21, 2022
18 Sep 23, 2022
0 Dec 07, 2022
34 Sep 10, 2022
1 Dec 02, 2021
34 Nov 09, 2022
260 Dec 14, 2022
6 Jul 29, 2022
0 Dec 14, 2021