24 October 2020 A standardized adversarial robustness benchmark RobustBench: a standardized adversarial robustness benchmark [arXiv, Oct 2020]
23 October 2020 Adapting stepsizes by the belief in observed gradients NeurIPS 2020 Spotlight, trains fast as Adam, generalizes well as SGD, and is stable to train GANs.
23 October 2020 Framework for Neural Style Transfer (NST) built upon PyTorch pystiche (pronounced /ˈpaɪˈstiʃ/ ) is a framework for Neural Style Transfer (NST) built upon PyTorch.
22 October 2020 Joint Learning of Vessel Segmentation and Artery/Vein Classification Retinal imaging serves as a valuable tool for diagnosis of various diseases.
22 October 2020 A Multilingual Dataset for Causal Commonsense Reasoning The Cross-lingual Choice of Plausible Alternatives dataset is a benchmark to evaluate the ability of machine learning models to transfer commonsense reasoning across languages.
21 October 2020 D2Det using mmdetection v2.1, supporting Objects365 and LVIS D2Det using mmdetection v2.1, supporting Objects365 and LVIS
21 October 2020 Learning Selective Mutual Attention and Contrast for RGB-D Saliency Detection ReDWeb-S: a large-scale challenging dataset for RGB-D Salient Object Detection.
20 October 2020 Nvidia GauGAN Graphical User Interface with Drawingboard.js A GUI for Nvidia's GauGAN/SPADE like shown in the tech demo.
20 October 2020 Scalable Multi-Agent RL Training School for Autonomous Driving SMARTS (Scalable Multi-Agent RL Training School) is a simulaton platform for reinforcement learning and multi-agent research on autonomous driving.
20 October 2020 Tiny, no-nonsense, self-contained, Tensorflow and ONNX inference tract is a Neural Network inference toolkit. It can read Tensorflow 1, ONNX or NNEF, optimize them and run data through them.
18 October 2020 A low-latency deep learning inference server using pytorch C++ frontend & NVIDIA GPUs A docker based low-latency deep learning library and inference server written in C++11 using the PyTorch C++ frontend.
18 October 2020 Data, tools, and documentation of the Fusion 360 Gallery Dataset The Fusion 360 Gallery Dataset contains rich 2D and 3D geometry data derived from parametric CAD models.
16 October 2020 Modeltime unlocks time series models and machine learning in one framework The time series forecasting package for the tidymodels ecosystem.
15 October 2020 High Performance Tensorflow Data Pipeline with State of Art Augmentations High Performance Tensorflow Data Pipeline with State of Art Augmentations and low level optimizations.
14 October 2020 Open source code for the paper of Neural Sparse Voxel Fields Photo-realistic free-viewpoint rendering of real-world scenes using classical computer graphics techniques is a challenging problem because it requires the difficult step of capturing detailed appearance and geometry models.
14 October 2020 A toolkit for calibrating the 6DoF rigid transformation and the time offset LI-Calib is a toolkit for calibrating the 6DoF rigid transformation and the time offset between a 3D LiDAR and an IMU.
13 October 2020 A Language Classifier powered by Recurrent Neural Network implemented in Python A Language Classifier powered by Recurrent Neural Network(RNN) implemented in Python without AI libraries.
12 October 2020 A PyTorch implementation of our paper Multi-modal Dense Video Captioning This is a PyTorch implementation of our paper Multi-modal Dense Video Captioning (CVPR Workshops 2020).
12 October 2020 Learning to Coordinate Manipulation Skills via Skill Behavior Diversification This project is a PyTorch implementation of Learning to Coordinate Manipulation Skills via Skill Behavior Diversification, which is published in ICLR 2020.
11 October 2020 Segment Tracing Using Local Lipschitz Bounds Source code for some of the results shown in the paper "Segment Tracing Using Local Lipschitz Bounds" published in CGF in 2020 and presented at Eurographics 2020.
11 October 2020 An unoffical repository for reproducing model DMFN from the paper unofficial implement of DMFN.
10 October 2020 Pragmatic Self-Consciousness for Improving Persona Consistency in Dialogues robot Will I Sound Like Me? Improving Persona Consistency in Dialogues through Pragmatic Self-Consciousness. EMNLP, 2020
09 October 2020 A Generative Adversarial Network implementation that generates Sharingans A Generative Adversarial Network implementation that generates Sharingans. This was trained on Google Colab with 3000 epochs and it took about 10 minutes to train.
09 October 2020 A CLI app developed to make it easier and faster to create image datasets The image dataset tool (IDT) is a CLI app developed to make it easier and faster to create image datasets to be used for deep learning.
07 October 2020 A simple way to achieve SOTA in vision classification with only a single transformer encoder Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch.