AI Technology & Industry Review
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.