We show that the double descent phenomenon occurs in CNNs, ResNets, and transformers: performance first improves, then gets worse, and then improves again with increasing model size, data size, or training time. This effect is often avoided through careful…

Facebook AI is open-sourcing a new, easy-to-use, production-ready end-to-end framework for large-scale, state-of-the-art image and video classification tasks. It enables anyone to train models on top of PyTorch using very simple abstractions.

PyTorch continues to be used for the latest state-of-the-art research on display at the NeurIPS conference next week, making up nearly 70% of papers that cite a framework. In addition, we’re excited to welcome Preferred Networks, the maintainers of the Chainer…

Neural Information Processing Systems (NeurIPS) is a multi-track machine learning and computational neuroscience conference that includes invited talks, demonstrations, symposia and oral and poster presentations of refereed papers. Following the conference…

Learn how to design, develop, deploy and iterate on production-grade ML applications. - GokuMohandas/Made-With-ML

The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.

The BAIR Blog

As computers and other personal devices have become increasingly prevalent, interest in conversational AI has grown due to its multitude of potential applications in a variety of situations.

This webpage intends to list papers related to QD algorithms, links to tutorials and workshops, and pointers to existing implementations of QD algorithms.

BMW has been implementing next-level production processes throughout its plants around the world for quite some time now. From robots carrying parts

Data preparation is a big part of applied machine learning. Correctly preparing your training data can mean the difference between mediocre and extraordinary results, even with very simple linear algorithms. Performing data preparation operations, such as…

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer" - google-research/text-to-text-transfer-transformer

Calculating the average of a variable or a list of numbers is a common operation in machine learning. It is an operation you may use every day either directly, such as when summarizing data, or indirectly, such as a smaller step in a larger procedure when…

It is important that beginner machine learning practitioners practice on small real-world datasets.

So-called standard machine learning datasets contain actual observations, fit into memory, and are well studied and well understood. As such, they can be…

Posted by Jie Ren, Research Scientist, Google Research and Balaji Lakshminarayanan, Research Scientist, DeepMind Successful deployment of machine...

To help sift through some of the incredible projects, research, demos, and more in 2019, here’s a look at 17 of the most popular and talked-about projects in machine learning, curated from the r/MachineLearning subreddit. I hope you find something… Continue…