Tag: Google

Researchers can use qsim to explore quantum algorithms
The Language Interpretability Tool (LIT): Interactive Exploration and Analysis of NLP Models
mT5: A massively multilingual pre-trained text-to-text transformer
Google Brain’s SimCLRv2 Achieves New SOTA in Semi-Supervised Learning
Announcing ScaNN: Efficient Vector Similarity Search
Google’s AutoML Zero lets the machines create algorithms to avoid human bias
Google’s TensorFlow Lite Model Maker adapts state-of-the-art models for on-device AI
XTREME: A Massively Multilingual Multi-task Benchmark for Evaluating Cross-lingual Generalization
Massively Scaling Reinforcement Learning with SEED RL
EfficientNet: Improving Accuracy and Efficiency through AutoML and Model Scaling
Announcing TensorFlow Quantum: An Open Source Library for Quantum Machine Learning
Google is making it easier to develop quantum machine-learning apps
AutoFlip: An Open Source Framework for Intelligent Video Reframing
Exploring Transfer Learning with T5: the Text-To-Text Transfer Transformer
google/trax
Google’s new AI can intelligently crop videos for any screen size
Dataset Search
Reformer: The Efficient Transformer
Google seeks patent for ML model speed prediction to improve navigation services
Audio and Visual Quality Measurement using Fréchet Distance
Google Launches AI Platform – an End-to-End Platform to Build, Run, and Manage ML Projects
RecSim: A Configurable Simulation Platform for Recommender Systems
Cloud TPU Pods break AI training records | Google Cloud Blog
Understanding searches better than ever before
Coral moves out of beta
Learning Cross-Modal Temporal Representations from Unlabeled Videos

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