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.
Category: Machine Learning & Data Science
PracticalAI 2.0 | ‘Learn, Explore and Build’ ML Models Online
PracticalAI recently released “practicalAI 2.0,” a platform that includes illustrative machine learning lessons in TensorFlow 2.0 + Keras and has garnered over 23k stars on GitHub.
SLM Lab: New RL Research Benchmark & Software Framework
In an effort to sustain RL’s momentum, a team of researchers from Machine Zone, Google Brain, and California Institute of Technology have introduced a new software framework and benchmark for reproducible reinforcement learning research.
Microsoft Releases NNI V1.3 for AutoML Algorithms and Training
To help users design and tune machine learning models, neural network architectures or complex system parameters in an efficient and automatic way, in 2017 Microsoft Research began developing its Neural Network Intelligence (NNI) AutoML toolkit, open-sourcing v1.0 version in 2018.
Microsoft & Peking University FaceShifter: High Fidelity, Occlusion Aware Face Swapping
A new study from Peking University and Microsoft Research Asia proposes a novel two-phase framework, FaceShifter, that aims for high-fidelity and occlusion-aware face exchange.
Facebook AI | Text-Based Generation of Interactive Worlds
Researchers recently proposed a new machine learning method for worldbuilding based on content from LIGHT, a research environment open-sourced by Facebook comprising crowd-sourced game locations, characters, and objects, etc.
Google & UC Berkeley ‘Reformer’ Runs 64K Sequences on One GPU
A recent paper accepted by ICLR 2020 proposes a new transformer model called “Reformer” which achieves impressive performance even when running on only a single GPU.
Gaussian Error Linear Unit Activates Neural Networks Beyond ReLU
Results of the various experiments show GELU consistently has the best performance compared with ReLU and ELU, and can be considered a viable alternative to previous nonlinear approaches.
Google Releases ALBERT V2 & Chinese-Language Models
Google has now released a major V2 ALBERT update and open-sourced Chinese ALBERT models.
‘SketchTransfer’ Draws Understanding From Detail Invariance
A team of researchers from Mila and Google Brain believe simple pencil sketches could help AI models generalize to a better understanding of unseen images.
Vision-Based AI Model Solves Sudoku at a Glance
Although “Sudoku“ grid-based number puzzles are no match for today’s artificial intelligence systems, a novel approach to the challenge is trending on GitHub due to its practical integration of computer vision technologies.