Probability quantifies the uncertainty of the outcomes of a random variable. It is relatively easy to understand and compute the probability for a single variable. Nevertheless, in machine learning, we often have many random variables that interact in often…

AutoML library for deep learning. Contribute to keras-team/autokeras development by creating an account on GitHub.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities - OlafenwaMoses/ImageAI

Must-read Papers on pre-trained language models. Contribute to thunlp/PLMpapers development by creating an account on GitHub.

❤️ Thank you so much for your support on Patreon: https://www.patreon.com/TwoMinutePapers

📝 The paper "Behaviour Suite for Reinforcement Learning" is available here:
https://arxiv.org/abs/1908.03568
https://github.com/deepmind/bsuite

🙏 We would like to…

A series of recent papers has used a parsing algorithm due to Shen et al.
(2018) to recover phrase-structure trees based on proxies for "syntactic
depth." These proxy depths are obtained from the...

A mix of GAN implementations including progressive growing - facebookresearch/pytorch_GAN_zoo

Posted by Arindrima Datta and Anjuli Kannan, Software Engineers, Google Research Google's mission is not just to organize the world's information b...

Release 2.0.0
Major Features and Improvements
TensorFlow 2.0 focuses on simplicity and ease of use, featuring updates like:

Easy model building with Keras and eager execution.
Robust model deploym...

Probability calculations are frustratingly unintuitive. Our brains are too eager to take shortcuts and get the wrong answer, instead of thinking through a problem and calculating the probability correctly. To make this issue obvious and aid in developing…

❤️ Check out Weights & Biases here and sign up for a free demo: https://www.wandb.com/papers

Weights & Biases blog post (the notebook is available too!)
- https://www.wandb.com/articles/visualize-xgboost-in-one-line
- https://colab.research.google.com/d…

Facebook AI is open-sourcing Hydra, a new framework whose dynamic approach to configuration will accelerate the development of complex Python applications.

cuDF - GPU DataFrame Library . Contribute to rapidsai/cudf development by creating an account on GitHub.

Classification is a predictive modeling problem that involves assigning a label to a given input data sample. The problem of classification predictive modeling can be framed as calculating the conditional probability of a class label given a data sample.…

We introduce novel communication strategies in synchronous distributed Deep
Learning consisting of decentralized gradient reduction orchestration and
computational graph-aware grouping of gradient...

BERT-related papers. Contribute to tomohideshibata/BERT-related-papers development by creating an account on GitHub.