github.com
Developer-Y/cs-video-courses: List of Computer Science courses with video lectures.
· cs-video-courses - List of Computer Science courses with video lectures. · Shared by 142, including AI, ipfconline in vacation mode :) will be back Sept.4, Kirk Borne, Yves Mulkers, Damien de France 🌍 🕊️🇺🇦, Rob Tiffany, John Nosta, Scott Shapiro, The Last Shitposter, Sonja Peteranderl (@glocalreporting@chaos.social), Danielle Fong 🙋🏻♀️, Prof. Sally Eaves, Marcus Borba, Helen Yu, Nico Müller 🇺🇦, Dr. Angelica Lim, MIT CSAIL, James Gingerich #B2B #Technology #Influencer, Harold Sinnott, Dr. Ganapathi Pulipaka 🇺🇸, Pete Skomoroch
github.com
GitHub - armlabstanford/collaborative_robotics_course: ME326 Collaborative Robotics Course Stanford University
· ME326 Collaborative Robotics Course Stanford University - Taught by Prof. Monroe Kennedy - GitHub - armlabstanford/collaborative_robotics_course: ME326 Collaborative Robotics Course Stanford Univer... · Shared by 4, including Matt Shaffer
cats.for.ai
Categories for Machine Learning
1 min · · This seminar series seeks to promote the learning and use of Category Theory by Machine Learning Researchers · Shared by 9, including Matt Shaffer
atcold.github.io
DEEP LEARNING · Deep Learning
1 min · · DS-GA 1008 · SPRING 2021 · NYU CENTER FOR DATA SCIENCE INSTRUCTORS Yann LeCun & Alfredo Canziani LECTURES Wednesday 9:30 – 11:30, Zoom PRACTICA Tuesdays 9:30 – 10:30, Zoom FORUM r/NYU_DeepLearning… · Shared by 14, including Yann LeCun, Matt Shaffer
github.com
Atcold/NYU-DLSP21: NYU Deep Learning Spring 2021
· NYU Deep Learning Spring 2021. Contribute to Atcold/NYU-DLSP21 development by creating an account on GitHub. · Shared by 5, including Matt Shaffer
github.com
pranav-s/Stanford_CS234_RL_2021: Solutions to coding assignments of Stanford Reinforcement Learning course Winter 2021
· Solutions to coding assignments of Stanford Reinforcement Learning course Winter 2021 - GitHub - pranav-s/Stanford_CS234_RL_2021: Solutions to coding assignments of Stanford Reinforcement Learning ... · Shared by 5, including Matt Shaffer
atcold.github.io
Generative Adversarial Networks
7 min · · $$\gdef \sam #1 {\mathrm{softargmax}(#1)}$$ $$\gdef \vect #1 {\boldsymbol{#1}} $$ $$\gdef \matr #1 {\boldsymbol{#1}} $$ $$\gdef \E {\mathbb{E}} $$ $$\gdef \V {\mathbb{V}} $$ $$\gdef \R {\mathbb{R}} $$… · Shared by 6, including Matt Shaffer
github.com
mcallester/ttic-31230
· Contribute to mcallester/ttic-31230 development by creating an account on GitHub. · Shared by 4, including Matt Shaffer
github.com
kmario23/deep-learning-drizzle
· Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!! - kmario23/deep-learning-drizzle · Shared by 31, including Yves Mulkers, Dr. Ganapathi Pulipaka 🇺🇸, Matt Shaffer, Vlad Arbatov, rohit, Vikram Dutt
bradyneal.com
Introduction to Causal Inference
6 min · · Upcoming online causal inference course to begin in September 2020. · Shared by 25, including Gregg Gonsalves, Matt Shaffer, AGI.Eth | MTL.Eth, James Winters, sircharlsxavier, Christopher D. Long, Arin Basu
Stanford University
Principles of Robot Autonomy II
4 min · · This course teaches advanced principles for endowing mobile autonomous robots with capabilities to autonomously learn new skills and to physically interact with the environment and with humans. It… · Shared by 6, including Matt Shaffer
stanford-cs221.github.io
CS221: Artificial Intelligence: Principles and Techniques
8 min · · Time/location: Lectures: Mon/Wed 1:30-2:50pm in NVIDIA auditorium (watch online) Sections: Thurs 3:30 - 4:20pm in Skilling auditorium Office hours: CA office hours are in the Huang basement; see… · Shared by 6, including Matt Shaffer
Stanford University
CS221: Artificial Intelligence: Principles and Techniques
· Aaron Effron (Head TA) Susanna Baby Jennie Chen Richard Diehl Martinez Chuma Kabaghe Yianni Laloudakis Jaebum Lee Nitya Mani · Shared by 5, including Matt Shaffer