August 28, 2021 PyTorch

A PyTorch implementation of EfficientNet and EfficientNetV2

EfficientNet PyTorch A PyTorch implementation of EfficientNet and EfficientNetV2 (coming soon!) Quickstart Install with pip install efficientnet_pytorch and load a pretrained EfficientNet with: from efficientnet_pytorch import EfficientNet model = EfficientNet.from_pretrained(‘efficientnet-b0’) Updates Update (April 2, 2021) The EfficientNetV2 paper has been released! I am working on implementing it as you read this 🙂 About EfficientNetV2: EfficientNetV2 is a new family of convolutional networks that have faster training speed and better parameter efficiency than previous models. To develop this family of models, […]

August 28, 2021 Deep Learning

PyTorch Implementation of Differentiable ODE Solvers

PyTorch Implementation of Differentiable ODE Solvers This library provides ordinary differential equation (ODE) solvers implemented in PyTorch. Backpropagation through ODE solutions is supported using the adjoint method for constant memory cost. For usage of ODE solvers in deep learning applications, see reference [1]. As the solvers are implemented in PyTorch, algorithms in this repository are fully supported to run on the GPU. Installation To install latest stable version: pip install torchdiffeq To install latest on GitHub: pip install git+https://github.com/rtqichen/torchdiffeq Examples […]

August 28, 2021 SVG

Conversor de arquivos svg para react-native utilizando python

svg-react-native-converter Conversor de arquivos svg para react-native utilizando python. 🚀 Technologies Technologies that I used to develop this application 💻 Getting started Requirements Clone the project and access the folder $ git clone https://github.com/cesarzxk/svg-react-native-converter.git Follow the steps below # For run the code(or double click): python ./main.py 🤔 How to contribute Make a fork of this repository # Fork using GitHub official command line # If you don’t have the GitHub CLI, use the web site to do that. $ […]

August 28, 2021 Uncategorized

Challenges and Opportunities in NLP Benchmarking

Over the last years, models in NLP have become much more powerful, driven by advances in transfer learning. A consequence of this drastic increase in performance is that existing benchmarks have been left behind. Recent models “have outpaced the benchmarks to test for them” (AI Index Report 2021), quickly reaching super-human performance on standard benchmarks such as SuperGLUE and SQuAD. Does this mean that we have solved natural language processing? Far from it. However, the traditional practices for evaluating performance […]

August 27, 2021 NLP

Getting to Production with Few-shot Natural Language Generation Models

July 29, 2021 By: Peyman Heidari, Arash Einolghozati, Shashank Jain, Soumya Batra, Lee Callender, Ankit Arun, Shawn Mei, Sonal Gupta, Pinar Donmez, Vikas Bhardwaj, Anuj Kumar, Michael White Abstract In this paper, we study the utilization of pretrained language models to enable few-shot Natural Language Generation (NLG) in task-oriented dialog systems. We introduce a system consisting of iterative self-training and an extensible mini-template framework that textualizes the structured input data into semi-natural text to fully take advantage of pre-trained language […]

August 27, 2021 NLP

Text-Free Image-to-Speech Synthesis Using Learned Segmental Units

August 2, 2021 By: Wei-Ning Hsu, David Harwath, Tyler Miller, Christopher Song, James Glass Abstract In this paper we present the first model for directly synthesizing fluent, natural-sounding spoken audio captions for images that does not require natural language text as an intermediate representation or source of supervision. Instead, we connect the image captioning module and the speech synthesis module with a set of discrete, sub-word speech units that are discovered with a self-supervised visual grounding task. We conduct experiments […]

August 27, 2021 NLP

SUPERB: Speech Understanding and PERformance Benchmark

August 30, 2021 By: Shu-wen Yang, Po-Han Chi, Yung-Sung Chuang, Cheng-I Lai, Kushal Lakhotia, Yist Y. Lin, Andy T. Liu, Jiatong Shi, Xuankai Chang, Daniel Lin, Tzu-Hsien Huang, Wei-Cheng Tseng, Godic Lee, Darong Liu, Zili Huang, Annie Dong, Shang-Wen Li, Shinji Watanabe, Abdelrahman Mohamed, Hung-yi Lee Abstract Using self-supervised learning methods to pre-train a network on large volumes of unlabeled data followed by fine-tuning for multiple downstream tasks has proven vital for advancing research in natural language representation learning. However, […]

August 27, 2021 Deep Learning

Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment

This repository shows two tasks: Face landmark detection and Face 3D reconstruction, which is described in this paper: Deep Unsupervised 3D SfM Face Reconstruction Based on Massive Landmark Bundle Adjustment. Installation Clone the repository. install dependencies. pip install -r requirement.txt Running a pre-trained model Download landmark pre-trained model at GoogleDrive, and put it into FaceLandmark/model/ Run the test file python Facial_landmark.py Running a pre-trained model Download face 3D reconstruction pre-trained model at GoogleDrive, and put it into FaceReconstruction/checkpoints/ Run the […]

August 27, 2021 Machine Learning

Sign-Agnostic Optimization of Convolutional Occupancy Networks

This repository contains the implementation of the paper: Sign-Agnostic CONet: Learning Implicit Surface Reconstructions by Sign-Agnostic Optimization of Convolutional Occupancy NetworksICCV 2021 (Oral) If you find our code or paper useful, please consider citing @inproceedings{tang2021sign, title={SA-ConvONet: Sign-Agnostic Optimization of Convolutional Occupancy Networks}, author={Tang, Jiapeng and Lei, Jiabao and Xu, Dan and Ma, Feiying and Jia, Kui and Zhang, Lei}, booktitle={Proceedings of the IEEE/CVF International Conference on Computer Vision}, year={2021} } Contact Jiapeng Tang for questions, comments and reporting bugs. Installation […]

August 27, 2021 Hardware

An open-source, low-cost, image-based weed detection device for fallow scenarios

OpenWeedLocator Welcome to the OpenWeedLocator (OWL) project, an opensource hardware and software green-on-brown weed detector that uses entirely off-the-shelf componentry, very simple green-detection algorithms and entirely 3D printable parts. OWL integrates weed detection on a Raspberry Pi with a relay control board in a custom designed case so you can attach any 12V solenoid, relay, lightbulb or device for low-cost, simple and opensource site-specific weed control. Projects to date have seen OWL mounted on robots and vehicles for spot spraying! […]

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