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Two Minute Papers: NVIDIA’s New AI Draws Images With The Speed of Thought! ⚡

❤️ Check out Cohere and sign up for free today: https://cohere.ai/papers Online demo – http://gaugan.org/gaugan2/ NVIDIA Canvas – https://www.nvidia.com/en-us/studio/canvas/ 📝 The previous paper “Semantic Image Synthesis with Spatially-Adaptive Normalization” is available here: https://nvlabs.github.io/SPADE/ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, […]
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Applications of Deep Neural Networks Course Overview (1.1, Spring 2022)

Spring 2022 Version. Applications of deep neural networks is a course offered in a hybrid format by Washington University in St. Louis. This course introduces Keras deep neural networks and highlights applications that neural networks are particularly adept at handling compared to previous machine learning models. Deep learning is a group of exciting new technologies […]
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Setting Up CUDA, CUDNN, Keras, and TensorFlow on Windows 11 for GPU Deep Learning

Complete walkthrough of installing TensorFlow/Keras with GPU support on Windows 11. We make use of a “pip install” rather than conda, to ensure that we get the latest version of TensorFlow. This requires installing Visual C++, CUDA, CuDNN, as well as the Python libraries. Guide: https://github.com/jeffheaton/t81_558_deep_learning/blob/master/install/manual_setup2.ipynb 0:54 Installation Guides 2:03 Step 1: NVIDIA Video Driver […]
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TUTEL-MoE-STACK OPTIMIZATION FOR MODERN DISTRIBUTED TRAINING | RAFAEL SALAS & YIFAN XIONG

The Mixture-of-Experts (MoE) is a sparsely activated deep learning model architecture that has sublinear compute costs with respect to their parameters. MoE is one of the few scalable approaches for training trillion-parameter scale deep learning models. This talk will present Tutel, an open-source project built with the Pytorch framework. Tutel is being actively developed by […]
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Two Minute Papers: New AI: Next Level Video Editing! 🤯

❤️ Train a neural network and track your experiments with Weights & Biases here: http://wandb.me/paperintro 📝 The paper “Layered Neural Atlases for Consistent Video Editing” is available here: https://layered-neural-atlases.github.io/ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, […]
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Two Minute Papers: Photos Go In, Reality Comes Out…And Fast! 🌁

❤️ Check out Perceptilabs and sign up for a free demo here: https://www.perceptilabs.com/papers 📝 The paper “Plenoxels: Radiance Fields without Neural Networks” is available here: https://alexyu.net/plenoxels/ ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous […]
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Proximal Policy Optimization is Easy with Tensorflow 2 | PPO Tutorial

Proximal Policy Optimization (PPO) has emerged as a powerful on policy actor critic algorithm. You might think that implementing it is difficult, but in fact tensorflow 2 makes coding up a PPO agent relatively simple. We’re going to take advantage of my PyTorch code for this, as it serves as a great basis to expand […]
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SingularityNET: Combining Logic and Deep Learning – AGI-21 Conference Contributed Talks

—- SingularityNET is a decentralized marketplace for artificial intelligence. We aim to create the world’s global brain with a full-stack AI solution powered by a decentralized protocol. We gathered the leading minds in machine learning and blockchain to democratize access to AI technology. Now anyone can take advantage of a global network of AI algorithms, […]
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061: Interpolation, Extrapolation and Linearisation (Prof. Yann LeCun, Dr. Randall Balestriero)

We are now sponsored by Weights and Biases! Please visit our sponsor link: http://wandb.me/MLST Yann LeCun thinks that it’s specious to say neural network models are interpolating because in high dimensions, everything is extrapolation. Recently Dr. Randall Bellestrerio, Dr. Jerome Pesente and prof. Yann LeCun released their paper learning in high dimensions always amounts to […]
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Basic Hyperparameter Tuning in DeepMinds ACME Framework

In today’s ACME deep reinforcement learning framework tutorial, I will showy ou how to do some basic hyperparameter tuning in their built in Deep Q Learning agent. Learn how to turn deep reinforcement learning papers into code: Deep Q Learning: https://www.udemy.com/course/deep-q-learning-from-paper-to-code/?couponCode=DQN-AUG-2021 Actor Critic Methods: https://www.udemy.com/course/actor-critic-methods-from-paper-to-code-with-pytorch/?couponCode=AC-AUG-2021 Natural Language Processing from First Principles: https://www.udemy.com/course/natural-language-processing-from-first-principles/?couponCode=NLP1-AUG-2021 Reinforcement Learning Fundamentals […]
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Two Minute Papers: This AI Creates Lava From Water…Sort Of! 🌊

❤️ Check out the Gradient Dissent podcast by Weights & Biases: http://wandb.me/gd  📝 The paper “VGPNN: Diverse Generation from a Single Video Made Possible” is available here: https://nivha.github.io/vgpnn/ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos Evripiotis, Benji […]
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Getting Started with Encryption in 2022

When you think of encryption you probably think of highly comjplex algorithms like SHA-256, but you can actually get unbreakable encryption with only a few lines of python. We’ll see how in this tutorial. We are going to cover 3 of the fundamental algorithms in encryption: the Caesar cipher, the Vignere cipher, and the one […]
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SCIENTIFIC COMPUTING IN PYTORCH | MIKE RUBERRY

Scientific computing helps us understand the natural world, and PyTorch lets you research, create, and quickly run the latest deep learning and scientific computing programs available today. In this talk, Mike Ruberry (Software Engineer, Meta AI) discusses how PyTorch has improved its support for scientific computing over the past year, with a focus on support […]
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How to Code RL Agents Like DeepMind

DeepMind is known for leading the way in deep reinforcement learning research. Creating novel agents to conquer the most advanced environments requires the use of some sophisticated infrastructure. Fortunately for us mere mortals, they’ve open sourced their framework for designing deep reinforcement learning agents: ACME. In ACME, you’ll find everything from deep Q learning all […]
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04:21

Two Minute Papers: New AI Makes You Play Table Tennis…In a Virtual World! 🏓

❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers 📝 The paper “TransPose: Real-time 3D Human Translation and Pose Estimation with Six Inertial Sensors” is available here: https://calciferzh.github.io/publications/yi2021transpose https://xinyu-yi.github.io/TransPose/ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, Angelos […]
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Top Kaggle Solution for Fall 2021 Semester

In this video, one of my students from Washington University provides an overview of his winning solution for the Fall 2021 Kaggle Competition. Each semester I hold a Kaggle In-Class competition for my deep learning course. Hawoo Im’s LinkedIn Page https://www.linkedin.com/in/hawooim/ Code: Kaggle Competition: https://www.kaggle.com/c/applications-of-deep-learning-wustlfall-2021/overview T81-558: Applications of Deep Neural Networks T81-558:Applications of Deep Neural […]
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Two Minute Papers: This AI Makes Celebrities Old…For a Price! 👵

❤️ Check out Fully Connected by Weights & Biases: https://wandb.me/papers 📝 The paper “Only a Matter of Style: Age Transformation Using a Style-based Regression Model” is available here: https://yuval-alaluf.github.io/SAM/ Demo: https://replicate.ai/yuval-alaluf/sam ▶️Our Twitter: https://twitter.com/twominutepapers 📝 Our material synthesis paper with the latent space: Gaussian Material Synthesis – ACM Transactions on Graphics (SIGGRAPH 2018) – Károly […]
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Two Minute Papers: Google’s New AI: This is Where Selfies Go Hyper! 🤳

❤️ Check out Weights & Biases and say hi in their community forum here: https://wandb.me/paperforum 📝 The paper “A Higher-Dimensional Representation for Topologically Varying Neural Radiance Fields” is available here: https://hypernerf.github.io/ 🙏 We would like to thank our generous Patreon supporters who make Two Minute Papers possible: Aleksandr Mashrabov, Alex Balfanz, Alex Haro, Andrew Melnychuk, […]
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Two Minute Papers: Virtual Reality Fluid Drawing Is Here! 🥛

❤️ Check out Weights & Biases and sign up for a free demo here: https://wandb.com/papers 📝 The paper “Interactive Liquid Splash Modeling by User Sketches” is available here: https://web.cse.ohio-state.edu/~wang.3602/Yan-2020-ILS/Yan-2020-ILS.pdf https://web.cse.ohio-state.edu/~wang.3602/publications.html 📝My earlier work on fluid control is available here: Real-time Control and Stopping of Fluids – Eurographics 2013, Poster – Károly Zsolnai, László Szirmay-Kalos (2013) […]
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Two Minute Papers: Ubisoft’s New AI Predicts the Future of Virtual Characters! 🐺

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “SuperTrack – Motion Tracking for Physically Simulated Characters using Supervised Learning” is available here: https://static-wordpress.akamaized.net/montreal.ubisoft.com/wp-content/uploads/2021/11/24183638/SuperTrack.pdf SuperTrack – Motion Tracking for Physically Simulated Characters using Supervised Learning ❤️ Watch these videos in early access on our Patreon page or join […]
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Two Minute Papers: Man VS Machine: Who Plays Table Tennis Better? 🤖

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “Optimal Stroke Learning with Policy Gradient Approach for Robotic Table Tennis” is available here: https://arxiv.org/abs/2109.03100 ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would […]
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Two Minute Papers: New AI: Photos Go In, Reality Comes Out! 🌁

❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers 📝 The paper “ADOP: Approximate Differentiable One-Pixel Point Rendering” is available here: https://arxiv.org/abs/2110.06635 ❤️ Watch these videos in early access on our Patreon page or join us here on YouTube: – https://www.patreon.com/TwoMinutePapers – https://www.youtube.com/channel/UCbfYPyITQ-7l4upoX8nvctg/join 🙏 We would like to thank our generous […]