AI Technology & Industry Review
In the new paper Productivity Assessment of Neural Code Completion, a GitHub research team explores whether usage measurements of developer interactions with GitHub Copilot can predict productivity as reported by developers.
A new BibTeX-normalizing tool dubbed Rebiber is gaining popularity in the AI research community. The creation of a PhD student, Rebiber addresses incomplete or confusing paper citation information.
“Depix” is a new AI-powered tool that can easily undo pixelization to enable recovery of the information therein.
ImHex’s creator says his trending hex editor is aimed at “Reverse Engineers, Programmers and people that value their eyesight when working at 3 AM.”
GitHub recently introduced a series of free and open-source GitHub Actions that merge data science and machine learning workflows with a software development workflow.
Codespaces is an in-browser integrated development environment (IDE) that lets users type their code directly on a GitHub website page.
Machine learning research resource Papers with Code last week introduced Sotabench, a free and open website created to benchmark and rate the performance of state-of-the-art open source models from GitHub.
In a bid to help software developers and foster innovative code search research, GitHub last week announced the CodeSearchNet Challenge in a joint effort with California-based machine learning development tools startup Weights & Biases.
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.
Papers With Code is a unique and useful resource that presents trending ML research along with the code to implement it. The site was created by Atlas ML CEO Robert Stojnic, aka “rstoj” on Reddit’s machine learning board. The latest version of Papers With Code has added 950+ unique machine learning tasks, 500+ State-of-the-Art result leaderboards and 8500+ papers with code.
YouTuber “TJWei” recently uploaded a “Face-off” video on YouTube. The four-minute split-screen clip sees two figures speaking and emoting simultaneously. Both look human, but one is an entity generated in real-time by an AI algorithm.