@Machine_learn
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
Github : https://github.com/tensorflow/graphics
Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
Github : https://github.com/tensorflow/graphics
Article: https://medium.com/tensorflow/introducing-tensorflow-graphics-computer-graphics-meets-deep-learning-c8e3877b7668
GitHub
GitHub - tensorflow/graphics: TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow - tensorflow/graphics
@Machine_learn
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
https://github.com/rwightman/pytorch-image-models?fbclid=IwAR0QNx9Hui3Tucr04-yR5RlSXF9ApTNcXbMAilZrDnhFDiTy5QduNQQjgqA
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
https://github.com/rwightman/pytorch-image-models?fbclid=IwAR0QNx9Hui3Tucr04-yR5RlSXF9ApTNcXbMAilZrDnhFDiTy5QduNQQjgqA
GitHub
GitHub - huggingface/pytorch-image-models: The largest collection of PyTorch image encoders / backbones. Including train, eval…
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V...
@Machine_learn
How to Visualize Filters and Feature Maps in Convolutional Neural Networks #CNN #DL #Tools
https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/
How to Visualize Filters and Feature Maps in Convolutional Neural Networks #CNN #DL #Tools
https://machinelearningmastery.com/how-to-visualize-filters-and-feature-maps-in-convolutional-neural-networks/
ODSC is bringing you Blockbuster workshop in Quantitative Finance+ Data Science absolutely FREE. The workshop has three presenters from diverse domains coming together to deliver it to you on June 29th ..Hurry Up!!! Limited seats Only.
Pankaj is Quantitative Finance researcher for State Street who is also one CFA level 2 candidate
Abinash Panda is CEO and Founder of Prodios is the Founding member of the famous pgmpy package. He has also written two books for Pakt publications in Probabilistic Graphical Models and Markov Models
Usha Rengaraju is an expert in Quantitative Finance and Bayesian Networks.
The workshop will also be followed by the AMA session by Swiggy Data Science Leaders.
RSVP here : https://bit.ly/2IiAzGc
#datascience #odsc #openai #neuralnetworks #ml #deeplearning #analytics #machinelearning #ai #artificialintelligence
@Machine_learn
Pankaj is Quantitative Finance researcher for State Street who is also one CFA level 2 candidate
Abinash Panda is CEO and Founder of Prodios is the Founding member of the famous pgmpy package. He has also written two books for Pakt publications in Probabilistic Graphical Models and Markov Models
Usha Rengaraju is an expert in Quantitative Finance and Bayesian Networks.
The workshop will also be followed by the AMA session by Swiggy Data Science Leaders.
RSVP here : https://bit.ly/2IiAzGc
#datascience #odsc #openai #neuralnetworks #ml #deeplearning #analytics #machinelearning #ai #artificialintelligence
@Machine_learn
Meetup
Login to Meetup | Meetup
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#Deep Learning with Theano Build the artificial brain of the future, today
#Christopher Bourez
#DL #book
@Machine_learn
#Christopher Bourez
#DL #book
@Machine_learn
1_5050891439995617440.pdf
5.5 MB
#Deep Learning with Theano Build the artificial brain of the future, today
#Christopher Bourez
#DL #book
@Machine_learn
#Christopher Bourez
#DL #book
@Machine_learn
Can Celebrities Reduce Prejudice? The case of Mohamed Salah
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
20181115AB_PAP.pdf
5.5 MB
Can Celebrities Reduce Prejudice? The case of Mohamed Salah
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
A pre-analysis plan
#Mohamed_Salah
"الحمد لله كثيرا"
#paper
@Machine_learn
#Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance
#book #python
@Machine_learn
#book #python
@Machine_learn
2_5447238834616009253.pdf
6.9 MB
#Machine Learning Applications Using Python Cases Studies from Healthcare, Retail, and Finance
#book #python
@Machine_learn
#book #python
@Machine_learn
#Mesh R-CNN
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
1906.02739.pdf
4.2 MB
#Mesh R-CNN
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
Georgia Gkioxari Jitendra Malik Justin Johnson
#Facebook AI Research #(FAIR)
Link:https://arxiv.org/abs/1906.02739
#Paper @Machine_learn
Mini Course in Deep Learning with #PyTorch for AIMS
#course #DL
____
@Machine_learn
___
https://github.com/Atcold/pytorch-Deep-Learning-Minicourse
#course #DL
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@Machine_learn
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https://github.com/Atcold/pytorch-Deep-Learning-Minicourse
GitHub
GitHub - Atcold/NYU-DLSP20: NYU Deep Learning Spring 2020
NYU Deep Learning Spring 2020. Contribute to Atcold/NYU-DLSP20 development by creating an account on GitHub.
Deep learning in one medium: combining #Code, #Math and #HTML. Open source book for everyone
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
❤1
d2l-en.pdf
23.3 MB
Deep learning in one medium: combining #Code, #Math and #HTML. Open source book for everyone
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
#book #code #DL
@Machine_learn
http://d2l.ai/index.html
2018 International MICCAI BraTS Challenge
#All BraTS challenge papers
#Unet #3D_Unet #RCNN
@Machine_learn
#All BraTS challenge papers
#Unet #3D_Unet #RCNN
@Machine_learn