Gans-in-action - Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
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GANs in Action
This is a deep learning-based method to segment deep brain structures and a brain mask from T1 weighted MRI.
DBSegment This tool generates 30 deep brain structures segmentation, as well as a brain mask from T1-Weighted MRI. The whole procedure should take ~1
Pytorch implementation of paper "Efficient Nearest Neighbor Language Models" (EMNLP 2021)
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Code for the paper: On Pathologies in KL-Regularized Reinforcement Learning from Expert Demonstrations
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Springer Link Download Module for Python
โ pupalink A simple Python module to search and download books from SpringerLink. ๐งช This project is still in an early stage of development. Expect br
The hippynn python package - a modular library for atomistic machine learning with pytorch.
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DCT-Mask: Discrete Cosine Transform Mask Representation for Instance Segmentation
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Local trajectory planner based on a multilayer graph framework for autonomous race vehicles.
Graph-Based Local Trajectory Planner The graph-based local trajectory planner is python-based and comes with open interfaces as well as debug, visuali
tensorflow code for inverse face rendering
InverseFaceRender This is tensorflow code for our project: Learning Inverse Rendering of Faces from Real-world Videos. (https://arxiv.org/abs/2003.120
Clockwork Variational Autoencoder
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GPU Programming with Julia - course at the Swiss National Supercomputing Centre (CSCS), ETH Zurich
Course Description The programming language Julia is being more and more adopted in High Performance Computing (HPC) due to its unique way to combine
A small demonstration of using WebDataset with ImageNet and PyTorch Lightning
A small demonstration of using WebDataset with ImageNet and PyTorch Lightning
Efficient Householder transformation in PyTorch
Efficient Householder Transformation in PyTorch This repository implements the Householder transformation algorithm for calculating orthogonal matrice
An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow implementation of SERank model. The code is developed based on TF-Ranking.
SERank An efficient and effective learning to rank algorithm by mining information across ranking candidates. This repository contains the tensorflow
Nvdiffrast - Modular Primitives for High-Performance Differentiable Rendering
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A machine learning library for spiking neural networks. Supports training with both torch and jax pipelines, and deployment to neuromorphic hardware.
Rockpool Rockpool is a Python package for developing signal processing applications with spiking neural networks. Rockpool allows you to build network
N-Person-Check-Checker-Splitter - A calculator app use to divide checks
N-Person-Check-Checker-Splitter This is my from-scratch programmed calculator ap
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning
TaCL: Improving BERT Pre-training with Token-aware Contrastive Learning Authors: Yixuan Su, Fangyu Liu, Zaiqiao Meng, Lei Shu, Ehsan Shareghi, and Nig
Deep Dual Consecutive Network for Human Pose Estimation (CVPR2021)
Beanie - is an asynchronous ODM for MongoDB, based on Motor and Pydantic. It uses an abstraction over Pydantic models and Motor collections to work wi
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition, CVPR 2018
PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place Recognition PointNetVLAD: Deep Point Cloud Based Retrieval for Large-Scale Place
[BMVC 2021] Official PyTorch Implementation of Self-supervised learning of Image Scale and Orientation Estimation
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