AI Technology & Industry Review
Amazon has introduced the latest version of their Sockeye toolkit for the efficient training of stronger and faster neural machine translation (NMT) models. Sockeye 3 achieves speeds up to 126 percent faster than other PyTorch implementations on GPUs and up to 292 percent faster on CPUs.
Japanese AI startup Preferred Networks (PFN) is moving ChainerRL to the PyTorch ecosystem.
Imaginaire, a universal PyTorch library designed for various GAN-based tasks and methods.
It was announced yesterday in a PyTorch blog post that the PyTorch / XLA library, a package that enables PyTorch to connect to Google TPUs and use TPU cores as devices, is now generally available on Google Cloud, with support for a broad set of entry points for developers.
PFRL succeeds ChainerRL as comprehensive library with cutting-edge deep reinforcement learning algorithms and features.
Japanese artificial intelligence startup Preferred Networks (PFN) today debuted its PyTorch library pytorch-pfn-extras (PPE).
In a bid to simplify 3D deep learning and improve processing performance and efficiency, Facebook recently introduced an open-source framework for 3D computer vision.
Synced Global AI Weekly February 2nd
The Autonomous Learning Library is a deep reinforcement learning (DRL) library for PyTorch that streamlines the building and evaluation of novel reinforcement learning agents.
Synced Global AI Weekly January 19th
FAIR as now open-sourced PySlowFast, along with a pretrained model library and a pledge to continue adding cutting-edge resources to the project.
A new paper from original PyTorch developers explores the inspiration behind the library, and makes the case for its unique marriage of speed and usability.
Every Friday Synced selects seven recent studies that present topical, innovative or otherwise interesting or important research we believe may be of interest to our readers.
Inspired by OpenCV, Kornia is based on PyTorch and designed to solve generic computer vision problems.
NLP-focused startup Hugging Face recently released a major update to their popular “PyTorch Transformers” library which establishes compatibility between PyTorch and TensorFlow 2.0.
Facebook AI research team show how they trained a large convolutional network to predict hashtags on some 3.5 billion social media images. The research returned a state-of-the-art top-1 accuracy result of 85.4 percent on ImageNet.
In a bid to provide a smoother reproduction experience, Facebook has announced the beta release of PyTorch Hub, a new pretrained model repository designed to facilitate research reproducibility testing.
The non-profit organization behind the popular worldwide library of computer vision programming functions, OpenCV (Open Source Computer Vision), is launching a kickstarter campaign to raise funds for a series of summer 2019 AI courses.
Thanks to the CUDA architecture [1] developed by NVIDIA, developers can exploit GPUs’ parallel computing power to perform general computation without extra efforts. Our objective is to evaluate the performance achieved by TensorFlow, PyTorch, and MXNet on Titan RTX.
Andrew Brock, first author of the high-profile research paper Large Scale GAN Training for High Fidelity Natural Image Synthesis (aka “BigGAN”), has posted a GitHub repository of an unofficial PyTorch BigGAN implementation that requires only 4-8 GPUs to train the model.
A new GitHub project, PyTorch Geometric (PyG), is attracting attention across the machine learning community. PyG is a geometric deep learning extension library for PyTorch dedicated to processing irregularly structured input data such as graphs, point clouds, and manifolds.
Facebook AI Infrastructure Director Yangqing Jia is leaving his position with the company, a person familiar with the matter told Synced. The Facebook team confirmed his departure yesterday.
Github developer Hugging Face has updated its repository with a PyTorch reimplementation of the GPT-2 language model small version that OpenAI open-sourced last week, along with pretrained models and fine-tuning examples.
In conjunction with yesterday’s release of open source AI software framework PyTorch 1.0, leading deep learning course developer Fast.ai has announced its first open source library for deep learning — fastai v1.
At the first-ever PyTorch Developer Conference today in San Francisco, Facebook released a preview of PyTorch 1.0, its open source AI software framework designed to trailblaze “a seamless path from AI research to production.”
PyTorch, an open source machine learning library for Python, today announced the release of “PyTorch 0.4.0 with Windows support”.
Facebook operates two flagship open source machine learning frameworks — Caffe2 and PyTorch. Their incompatibility, however, made it difficult to transform a PyTorch-defined model into Caffe2 or vice versa. Facebook is doing something about that.
Before TensorFlow, PyTorch and Caffe; Theano was the major library for deep learning development. However, the library’s development and support will end after the upcoming Theano 1.0 release.