Dependencies are Python 3, a recent PyTorch, numpy/scipy, tqdm, future and tensorboard.
Plotting with Matplotlib.
Implementation of the neural network is in the module regretnet.
To train and test auction networks, use the scripts train.py and test.py; sample_scripts.sh gives some examples of how to invoke these.
Pretrained models are in the model directory.
TableParser Repo for "TableParser: Automatic Table Parsing with Weak Supervision from Spreadsheets" at
SquarePlus (Pytorch implement) unofficial pytorch implement of "Squareplus: A Softplus-Like Algebraic Rectifier" SquarePlus Squareplus is a Softplus-L
LUPerson Unsupervised Pre-training for Person Re-identification (LUPerson). The repository is for our CVPR2021 paper Unsupervised Pre-training for Per
Learning Calibrated-Guidance for Object Detection in Aerial Images arxiv We propose a simple yet effective Calibrated-Guidance (CG) scheme to enhance
AI for TSP Competition Goal In the AI for TSP competition we try to solve optimization problems using machine learning. The competition will be hosted
ALFRED A Benchmark for Interpreting Grounded Instructions for Everyday Tasks Mohit Shridhar, Jesse Thomason, Daniel Gordon, Yonatan Bisk, Winson Han,
FastFlowNet: A Lightweight Network for Fast Optical Flow Estimation The official PyTorch implementation of FastFlowNet (ICRA 2021). Authors: Lingtong
Learning Opinion Summarizers by Selecting Informative Reviews This repository contains the codebase and the dataset for the corresponding EMNLP 2021
MIRNet Tensorflow implementation of the MIRNet architecture as proposed by Learning Enriched Features for Real Image Restoration and Enhancement. Lanu
ViPNAS: Efficient Video Pose Estimation via Neural Architecture Search [paper] Introduction This is the official implementation of ViPNAS: Efficient V
mtomo Multiple types of NN model optimization environments. It is possible to directly access the host PC GUI and the camera to verify the operation.
handm_data_visualize_app Data visualization app by streamlit for H&M competition in kaggle. competition page: https://www.kaggle.com/competitions/h-an
Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".
DIML Created by Wenliang Zhao*, Yongming Rao*, Ziyi Wang, Jiwen Lu, Jie Zhou This repository contains PyTorch implementation for paper Towards Interpr
Real Time Object/Face Detection Using YOLO-v3 This project implements a real time object and face detection using YOLO algorithm. You only look once,
Make-A-Scene - PyTorch Pytorch implementation (inofficial) of Make-A-Scene: Scene-Based Text-to-Image Generation with Human Priors (https://arxiv.org/
Improving Object Detection by Estimating Bounding Box Quality Accurately Abstrac
Package Description The difficulties in acquiring spectroscopic data have been a major challenge for supernova surveys. snlstm is developed to provide
involution Official implementation of a neural operator as described in Involution: Inverting the Inherence of Convolution for Visual Recognition (CVP
Fully Convolutional Networks for Semantic Segmentation This is the reference implementation of the models and code for the fully convolutional network
3 Dec 29, 2021
143 Dec 24, 2022
51 Sep 22, 2022
11 Nov 27, 2022
204 Dec 15, 2022
161 Jan 03, 2023
39 Jan 01, 2023
91 Jan 06, 2023
42 Sep 26, 2022
24 Mar 02, 2022
12 Apr 30, 2022
7 Nov 08, 2022
75 Nov 11, 2022
1 Aug 04, 2022
259 Dec 28, 2022
2 Apr 14, 2022
7 Oct 11, 2022
1.3k Dec 28, 2022
3.2k Jan 08, 2023