Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose
Release Notes
The offical PyTorch implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose, publish on NeuralIPS 2021. 
The Official Implementation of Neural View Synthesis and Matching for Semi-Supervised Few-Shot Learning of 3D Pose [NIPS 2021].
Overview
Owner
Angtian Wang
PhD student at Johns Hopkins University, my main focus includes Computer Vision and Deep Learning.
Code repo for "Transformer on a Diet" paper
Transformer on a Diet Reference: C Wang, Z Ye, A Zhang, Z Zhang, A Smola. "Transformer on a Diet". arXiv preprint arXiv (2020). Installation pip insta
31 Sep 26, 2021
TensorFlow-based neural network library
Sonnet Documentation | Examples Sonnet is a library built on top of TensorFlow 2 designed to provide simple, composable abstractions for machine learn
9.5k Jan 07, 2023
This is the code used in the paper "Entity Embeddings of Categorical Variables".
This is the code used in the paper "Entity Embeddings of Categorical Variables". If you want to get the original version of the code used for the Kagg
845 Nov 29, 2022
Sequential GCN for Active Learning
Sequential GCN for Active Learning Please cite if using the code: Link to paper. Requirements: python 3.6+ torch 1.0+ pip libraries: tqdm, sklearn, sc
45 Dec 26, 2022
An open-source, low-cost, image-based weed detection device for fallow scenarios.
Welcome to the OpenWeedLocator (OWL) project, an opensource hardware and software green-on-brown weed detector that uses entirely off-the-shelf compon
145 Jan 05, 2023
Self-supervised learning (SSL) is a method of machine learning
Self-supervised learning (SSL) is a method of machine learning. It learns from unlabeled sample data. It can be regarded as an intermediate form between supervised and unsupervised learning.
4 May 26, 2022
Pure python PEMDAS expression solver without using built-in eval function
pypemdas Pure python PEMDAS expression solver without using built-in eval function. Supports nested parenthesis. Supported operators: + - * / ^ Exampl
1 Dec 22, 2021
DeepLearning Anomalies Detection with Bluetooth Sensor Data
Final Year Project. Constructing models to create offline anomalies detection using Travel Time Data collected from Bluetooth sensors along the route.
1 Jan 10, 2022
Edge Restoration Quality Assessment
ERQA - Edge Restoration Quality Assessment ERQA - a full-reference quality metric designed to analyze how good image and video restoration methods (SR
27 Dec 17, 2022
code for TCL: Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022
Vision-Language Pre-Training with Triple Contrastive Learning, CVPR 2022 News (03/16/2022) upload retrieval checkpoints finetuned on COCO and Flickr T
187 Jan 02, 2023
HW3 ― GAN, ACGAN and UDA
HW3 ― GAN, ACGAN and UDA In this assignment, you are given datasets of human face and digit images. You will need to implement the models of both GAN
1 Dec 13, 2021
List of all dependencies affected by node-ipc malicious commit
node-ipc-dependencies-list List of all dependencies affected by node-ipc malicious commit as of 17/3/2022 - 19/3/2022 (timestamp) Please improve upon
99 Oct 15, 2022
Deep Residual Learning for Image Recognition
Deep Residual Learning for Image Recognition This is a Torch implementation of "Deep Residual Learning for Image Recognition",Kaiming He, Xiangyu Zhan
561 Dec 01, 2022
DeepMind Alchemy task environment: a meta-reinforcement learning benchmark
The DeepMind Alchemy environment is a meta-reinforcement learning benchmark that presents tasks sampled from a task distribution with deep underlying structure.
188 Dec 25, 2022
The code for paper Efficiently Solve the Max-cut Problem via a Quantum Qubit Rotation Algorithm
Quantum Qubit Rotation Algorithm Single qubit rotation gates $$ U(\Theta)=\bigotimes_{i=1}^n R_x (\phi_i) $$ QQRA for the max-cut problem This code wa
0 Oct 18, 2021
Image Recognition using Pytorch
PyTorch Project Template A simple and well designed structure is essential for any Deep Learning project, so after a lot practice and contributing in
1 Nov 02, 2021
The Python3 import playground
The Python3 import playground I have been confused about python modules and packages, this text tries to clear the topic up a bit. Sources: https://ch
5 Feb 22, 2022
Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning
structshot Code and data for paper "Simple and Effective Few-Shot Named Entity Recognition with Structured Nearest Neighbor Learning", Yi Yang and Arz
47 Dec 27, 2022
Statistical-Rethinking-with-Python-and-PyMC3 - Python/PyMC3 port of the examples in " Statistical Rethinking A Bayesian Course with Examples in R and Stan" by Richard McElreath
Statistical Rethinking with Python and PyMC3 This repository has been deprecated in favour of this one, please check that repository for updates, for
786 Dec 29, 2022
Provide partial dates and retain the date precision through processing
Prefix date parser This is a helper class to parse dates with varied degrees of precision. For example, a data source might state a date as 2001, 2001
13 Dec 14, 2022