Must follow Github Repository
⚡️Contains +100 AI Cheatsheets
⚡️List of Free AI Courses
⚡️Free Online Books
⚡️Top 10 Online Books
⚡️Research Papers with codes
⚡️Top Videos&Lecture on AI+ML
⚡️+99 AI Researchers
⚡️Top website which should follow
⚡️+121 Free Datasets
⚡️+53 AI Framework and many more
All in one Github Repository
https://github.com/Niraj-Lunavat/Artificial-Intelligence
#Github #artificialIntelligence #ai #ml #machinelearning
⚡️Contains +100 AI Cheatsheets
⚡️List of Free AI Courses
⚡️Free Online Books
⚡️Top 10 Online Books
⚡️Research Papers with codes
⚡️Top Videos&Lecture on AI+ML
⚡️+99 AI Researchers
⚡️Top website which should follow
⚡️+121 Free Datasets
⚡️+53 AI Framework and many more
All in one Github Repository
https://github.com/Niraj-Lunavat/Artificial-Intelligence
#Github #artificialIntelligence #ai #ml #machinelearning
GitHub
GitHub - Niraj-Lunavat/Artificial-Intelligence: Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses,…
Awesome AI Learning with +100 AI Cheat-Sheets, Free online Books, Top Courses, Best Videos and Lectures, Papers, Tutorials, +99 Researchers, Premium Websites, +121 Datasets, Conferences, Frameworks...
Learning Vision-based Flight in Drone Swarms by Imitation
Schilling et al.: https://arxiv.org/abs/1908.02999
#Robotics #MachineLearning #MultiagentSystems
Schilling et al.: https://arxiv.org/abs/1908.02999
#Robotics #MachineLearning #MultiagentSystems
arXiv.org
Learning Vision-based Flight in Drone Swarms by Imitation
Decentralized drone swarms deployed today either rely on sharing of positions
among agents or detecting swarm members with the help of visual markers. This
work proposes an entirely visual...
among agents or detecting swarm members with the help of visual markers. This
work proposes an entirely visual...
NeuPDE: Neural Network Based Ordinary and Partial Differential Equations for Modeling Time-Dependent Data
Sun et al.: https://arxiv.org/abs/1908.03190
#ArtificialIntelligence #NeuralNetwork #PartialDifferentialEquations
Sun et al.: https://arxiv.org/abs/1908.03190
#ArtificialIntelligence #NeuralNetwork #PartialDifferentialEquations
arXiv.org
NeuPDE: Neural Network Based Ordinary and Partial Differential...
We propose a neural network based approach for extracting models from dynamic
data using ordinary and partial differential equations. In particular, given a
time-series or spatio-temporal dataset,...
data using ordinary and partial differential equations. In particular, given a
time-series or spatio-temporal dataset,...
What’s New in Deep Learning Research: Learning and Teaching the West World Way
#towardsdatascience #datascience #news #learning
https://towardsdatascience.com/whats-new-in-deep-learning-research-learning-and-teaching-the-west-world-way-659892b2e452
#towardsdatascience #datascience #news #learning
https://towardsdatascience.com/whats-new-in-deep-learning-research-learning-and-teaching-the-west-world-way-659892b2e452
Medium
What’s New in Deep Learning Research: Learning and Teaching the West World Way
West World is one of my favorite TV series of the last few years. The HBO drama combines a stellar group of actors in an engaging plot that…
Deep Kernel Learning for Clustering
Wu et al.: https://arxiv.org/pdf/1908.03515v1.pdf
#DeepLearning #MachineLearning #NeuralNetworks
Wu et al.: https://arxiv.org/pdf/1908.03515v1.pdf
#DeepLearning #MachineLearning #NeuralNetworks
One-shot Face Reenactment"
Zhang et al.: https://arxiv.org/abs/1908.03251
Project: https://wywu.github.io/projects/ReenactGAN/OneShotReenact.html
GitHub: https://github.com/bj80heyue/One_Shot_Face_Reenactment
#ArtificialIntelligence #DeepLearning #MachineLearning
Zhang et al.: https://arxiv.org/abs/1908.03251
Project: https://wywu.github.io/projects/ReenactGAN/OneShotReenact.html
GitHub: https://github.com/bj80heyue/One_Shot_Face_Reenactment
#ArtificialIntelligence #DeepLearning #MachineLearning
Looking to fall in love... with science? 😍 Help scientists train machines to study stroke lesions by swiping on our app:
https://braindrles.us/#/
#citizenscience #braindr #braindrles #neuroscience #machinelearning #swipesforscience #openscience #OHBM2019
https://braindrles.us/#/
#citizenscience #braindr #braindrles #neuroscience #machinelearning #swipesforscience #openscience #OHBM2019
An Atari Model Zoo for Analyzing, Visualizing, and Comparing Deep Reinforcement Learning Agents
Such et al.: https://arxiv.org/abs/1812.07069
Code: https://github.com/uber-research/atari-model-zoo
Blog: https://eng.uber.com/atari-zoo-deep-reinforcement-learning/
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
Such et al.: https://arxiv.org/abs/1812.07069
Code: https://github.com/uber-research/atari-model-zoo
Blog: https://eng.uber.com/atari-zoo-deep-reinforcement-learning/
#ArtificialIntelligence #DeepLearning #ReinforcementLearning
MegatronLM: Training Billion+ Parameter Language Models Using GPU Model Parallelism
"... training an 8.3 billion parameter transformer language model with 8-way model parallelism and 64-way data parallelism on 512 GPUs, making it the largest transformer based language model ever trained at 24x the size of BERT and 5.6x the size of GPT-2."
Blog by NVIDIA Applied Deep Learning Research : https://nv-adlr.github.io/MegatronLM
Code: https://github.com/nvidia/megatron-lm
#ArtificialIntelligence #DeepLearning #NLP #PyTorch #Transformer
"... training an 8.3 billion parameter transformer language model with 8-way model parallelism and 64-way data parallelism on 512 GPUs, making it the largest transformer based language model ever trained at 24x the size of BERT and 5.6x the size of GPT-2."
Blog by NVIDIA Applied Deep Learning Research : https://nv-adlr.github.io/MegatronLM
Code: https://github.com/nvidia/megatron-lm
#ArtificialIntelligence #DeepLearning #NLP #PyTorch #Transformer
NVIDIA ADLR
MegatronLM: Training Billion+ Parameter Language Models Using GPU Model Parallelism
We train an 8.3 billion parameter transformer language model with 8-way model parallelism and 64-way data parallelism on 512 GPUs, making it the largest transformer based language model ever trained at 24x the size of BERT and 5.6x the size of GPT-2
"There has been surprisingly little mainstream discussion about how the techniques we classify as AI actually work.”
Andrew Ng and Derrick Harris discuss enterprise AI in just 15 minutes: https://content.pivotal.io/intersect/ai-in-15-minutes
Andrew Ng and Derrick Harris discuss enterprise AI in just 15 minutes: https://content.pivotal.io/intersect/ai-in-15-minutes
content.pivotal.io
AI for enterprises: Start small and choose projects wisely
Artificial intelligence expert Andrew Ng explains the basics of enterprise AI adoption, from scoping out the most impactful early applications to building out an AI team.
The functional organisation of the hippocampus along its long axis is gradual and predicts recollection
https://reader.elsevier.com/reader/sd/pii/S0010945219301832?token=7ED07A1848AFEC6DC2EA8E0B689CC9EB30478F019977CF3DB31E898DE8DFF75456605EE621D0E2B7D2212D3FD9E00C72
https://reader.elsevier.com/reader/sd/pii/S0010945219301832?token=7ED07A1848AFEC6DC2EA8E0B689CC9EB30478F019977CF3DB31E898DE8DFF75456605EE621D0E2B7D2212D3FD9E00C72
Sciencedirect
The functional organisation of the hippocampus along its long axis is gradual and predicts recollection
Understanding the functional organisation of the hippocampus is crucial for understanding its role in cognition and disorders in which it is implicate…
Understanding XLNet
https://www.borealisai.com/en/blog/understanding-xlnet/
https://www.borealisai.com/en/blog/understanding-xlnet/
ICYMI: Best demo paper from ACL 2019 (super recent)
https://www.profillic.com/paper/arxiv:1902.08646
The paper introduces the Pytorch-based open source framework OpenKiwi for translation quality estimation
https://www.profillic.com/paper/arxiv:1902.08646
The paper introduces the Pytorch-based open source framework OpenKiwi for translation quality estimation
Profillic
Profillic: AI research & source code to supercharge your projects
Explore state-of-the-art in machine learning, AI, and robotics research. Browse papers, source code, models, and more by topics and authors. Connect with researchers and engineers working on related problems in machine learning, deep learning, natural language…
Generating Diverse High-Fidelity Images with VQ-VAE-2
Ali Razavi, Aaron van den Oord, Oriol Vinyals : https://arxiv.org/abs/1906.00446
#DeepLearning #VariationalAutoEncoder #VAE
Ali Razavi, Aaron van den Oord, Oriol Vinyals : https://arxiv.org/abs/1906.00446
#DeepLearning #VariationalAutoEncoder #VAE
Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech
Blog by Joel Shor and Dotan Emanuel : https://ai.googleblog.com/2019/08/project-euphonias-personalized-speech.html
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Blog by Joel Shor and Dotan Emanuel : https://ai.googleblog.com/2019/08/project-euphonias-personalized-speech.html
#ArtificialIntelligence #DeepLearning #NeuralNetworks
Is Deep Reinforcement Learning Really Superhuman on Atari?
Marin Toromanoff, Emilie Wirbel, Fabien Moutarde : https://arxiv.org/abs/1908.04683
#deeplearning #machinelearning #reinforcementlearning
Marin Toromanoff, Emilie Wirbel, Fabien Moutarde : https://arxiv.org/abs/1908.04683
#deeplearning #machinelearning #reinforcementlearning