Preferred Networks’ ChainerRL Joins PyTorch Ecosystem as ‘PFRL’
Japanese AI startup Preferred Networks (PFN) is moving ChainerRL to the PyTorch ecosystem.
Tag: pytorch
Nvidia Releases ‘Imaginaire’ Library for Image and Video Synthesis
Imaginaire, a universal PyTorch library designed for various GAN-based tasks and methods.
PyTorch / XLA Library Reaches General Availability on Google Cloud
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.
Preferred Networks Releases PFRL Deep Reinforcement Learning Library for PyTorch Users
PFRL succeeds ChainerRL as comprehensive library with cutting-edge deep reinforcement learning algorithms and features.
Japanese Unicorn Preferred Networks Releases First PyTorch Library
Japanese artificial intelligence startup Preferred Networks (PFN) today debuted its PyTorch library pytorch-pfn-extras (PPE).
Facebook Open-Sources PyTorch3D CV Library
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.
AI Tackles the 2019 Novel Coronavirus, Anemia and More; OpenAI Switches to PyTorch
Synced Global AI Weekly February 2nd
Autonomous Learning Library Simplifies Intelligent Agent Creation
The Autonomous Learning Library is a deep reinforcement learning (DRL) library for PyTorch that streamlines the building and evaluation of novel reinforcement learning agents.
Meet the Living Robot; PigeonBot With Real Feathers; DeepMind Introduces AlphaFold; PyTorch 1.4 Released
Synced Global AI Weekly January 19th
Facebook Open-Sources PySlowFast Codebase for Video Understanding
FAIR as now open-sourced PySlowFast, along with a pretrained model library and a pledge to continue adding cutting-edge resources to the project.
PyTorch Deep Learning Framework: Speed + Usability
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.
Weekly Papers | Praising PyTorch; Improving Lip Reading; Generating Structured Text and More
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.
OpenCV-Inspired Kornia Is a Differentiable Computer Vision Library for PyTorch
Inspired by OpenCV, Kornia is based on PyTorch and designed to solve generic computer vision problems.
Hugging Face Implements SOTA Transformer Architectures for PyTorch and TensorFlow 2.0
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 Model Pretrained on Billions of Instagram Hashtags Achieves SOTA Results on Top-1 ImageNet
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.
New Facebook PyTorch Hub Facilitates Reproducibility Testing
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.
OpenCV Launching Kickstarter Campaign for New AI Courses
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.
TensorFlow, PyTorch or MXNet? A comprehensive evaluation on NLP & CV tasks with Titan RTX
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.
BigGAN Trained With Only 4 GPUs!
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.
PyTorch Geometric: A Fast PyTorch Library for DL
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.
Caffe Pioneer & AI Infrastructure Director Leaves Facebook
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.
PyTorch Reimplementation of OpenAI GPT-2 Small Model Released
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.
Fastai 1.0 for PyTorch: “There’s Nothing Better Out There”
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.
Facebook Says Developers Will Love PyTorch 1.0
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 Releases Major Update, Now Officially Supports Windows
PyTorch, an open source machine learning library for Python, today announced the release of “PyTorch 0.4.0 with Windows support”.
Caffe2 Merges With PyTorch
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.
RIP Theano
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.