Analyzing and Improving the Image Quality of StyleGAN
https://github.com/NVlabs/stylegan2
Paper : https://arxiv.org/abs/1912.04958v1
https://paperswithcode.com/paper/analyzing-and-improving-the-image-quality-of
https://github.com/NVlabs/stylegan2
Paper : https://arxiv.org/abs/1912.04958v1
https://paperswithcode.com/paper/analyzing-and-improving-the-image-quality-of
GitHub
GitHub - NVlabs/stylegan2: StyleGAN2 - Official TensorFlow Implementation
StyleGAN2 - Official TensorFlow Implementation. Contribute to NVlabs/stylegan2 development by creating an account on GitHub.
Standard Machine Learning Datasets for Imbalanced Classification
https://machinelearningmastery.com/standard-machine-learning-datasets-for-imbalanced-classification/
https://machinelearningmastery.com/standard-machine-learning-datasets-for-imbalanced-classification/
MachineLearningMastery.com
Standard Machine Learning Datasets for Imbalanced Classification - MachineLearningMastery.com
An imbalanced classification problem is a problem that involves predicting a class label where the distribution of class labels in the training dataset is skewed.
Many real-world classification problems have an imbalanced class distribution, therefore…
Many real-world classification problems have an imbalanced class distribution, therefore…
Memory Efficient MAML
https://github.com/dbaranchuk/memory-efficient-maml
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://proceedings.mlr.press/v70/finn17a/finn17a.pdf
https://github.com/dbaranchuk/memory-efficient-maml
Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks
https://proceedings.mlr.press/v70/finn17a/finn17a.pdf
GitHub
GitHub - dbaranchuk/memory-efficient-maml: Memory efficient MAML using gradient checkpointing
Memory efficient MAML using gradient checkpointing - dbaranchuk/memory-efficient-maml
FasterSeg: Searching for Faster Real-time Semantic Segmentation
https://github.com/TAMU-VITA/FasterSeg
Paper: https://arxiv.org/abs/1912.10917v1
https://github.com/TAMU-VITA/FasterSeg
Paper: https://arxiv.org/abs/1912.10917v1
GitHub
VITA-Group/FasterSeg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang - VITA-Group/FasterSeg
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
https://github.com/liusongxiang/StarGAN-Voice-Conversion
AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice Conversion
https://openreview.net/forum?id=HJlk-eHFwH
https://github.com/liusongxiang/StarGAN-Voice-Conversion
AdaGAN: Adaptive GAN for Many-to-Many Non-Parallel Voice Conversion
https://openreview.net/forum?id=HJlk-eHFwH
GitHub
GitHub - liusongxiang/StarGAN-Voice-Conversion: This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to…
This is a pytorch implementation of the paper: StarGAN-VC: Non-parallel many-to-many voice conversion with star generative adversarial networks - GitHub - liusongxiang/StarGAN-Voice-Conversion: T...
FNNP: Fast Neural Network Pruning Using Adaptive Batch Normalization
https://github.com/anonymous47823493/FNNP
Paper: https://openreview.net/forum?id=rJeUPlrYvr
https://github.com/anonymous47823493/FNNP
Paper: https://openreview.net/forum?id=rJeUPlrYvr
Athena: A Framework for Defending Machine Learning Systems Against Adversarial Attacks
https://github.com/softsys4ai/athena
Paper: https://arxiv.org/abs/2001.00308v1
https://github.com/softsys4ai/athena
Paper: https://arxiv.org/abs/2001.00308v1
@notboring_tech - №1 channel in telegram about artificial intelligence, machine learning and neural networks.
The author fumbles for the topic and you will be aware of all the achievements of AI with the channel @notboring_tech 🤖
The author fumbles for the topic and you will be aware of all the achievements of AI with the channel @notboring_tech 🤖
Stacked DeBERT: All Attention in Incomplete Data for Text Classification
https://github.com/gcunhase/StackedDeBERT
Papaer https://arxiv.org/abs/2001.00137v1
https://github.com/gcunhase/StackedDeBERT
Papaer https://arxiv.org/abs/2001.00137v1
Paraphrase Generation with Latent Bag of Words
Paper: https://arxiv.org/abs/2001.01941v1
Code: https://github.com/FranxYao/dgm_latent_bow
Paper: https://arxiv.org/abs/2001.01941v1
Code: https://github.com/FranxYao/dgm_latent_bow
GitHub
GitHub - FranxYao/dgm_latent_bow: Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words
Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of Words - GitHub - FranxYao/dgm_latent_bow: Implementation of NeurIPS 19 paper: Paraphrase Generation with Latent Bag of W...
Fast Neural Network Adaptation via Parameter Remapping and Architecture Search
https://github.com/JaminFong/FNA
Paper: https://arxiv.org/abs/2001.02525v1
https://github.com/JaminFong/FNA
Paper: https://arxiv.org/abs/2001.02525v1
PyTorch Geometry
The PyTorch Geometry package is a geometric computer vision library for PyTorch
https://github.com/arraiy/torchgeometry
@ArtificialIntelligencedl
The PyTorch Geometry package is a geometric computer vision library for PyTorch
https://github.com/arraiy/torchgeometry
@ArtificialIntelligencedl
GitHub
GitHub - kornia/kornia: Open Source Differentiable Computer Vision Library
Open Source Differentiable Computer Vision Library - GitHub - kornia/kornia: Open Source Differentiable Computer Vision Library
Using Machine Learning to “Nowcast” Precipitation in High Resolution
https://ai.googleblog.com/2020/01/using-machine-learning-to-nowcast.html
https://ai.googleblog.com/2020/01/using-machine-learning-to-nowcast.html
Google AI Blog
Using Machine Learning to “Nowcast” Precipitation in High Resolution
Posted by Jason Hickey, Senior Software Engineer, Google Research The weather can affect a person’s daily routine in both mundane and se...
This Beautiful Fluid Simulator Warps Time…Kind Of 🌊
https://www.youtube.com/watch?v=wsFgrzYwchQ
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf**
https://www.youtube.com/watch?v=wsFgrzYwchQ
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf**
YouTube
This Beautiful Fluid Simulator Warps Time…Kind Of 🌊
❤️ Check out Lambda here and sign up for their GPU Cloud: https://lambdalabs.com/papers
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf…
📝 The paper "A Temporally Adaptive Material Point Method with Regional Time Stepping" is available here:
https://taichi.graphics/wp-content/uploads/2018/06/asyncmpm.pdf…
DDSP: Differentiable Digital Signal Processing
DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning model, especially as the output layers for audio generation.
Code: https://github.com/magenta/ddsp
Paper: https://arxiv.org/abs/2001.04643v1
DDSP is a library of differentiable versions of common DSP functions (such as synthesizers, waveshapers, and filters). This allows these interpretable elements to be used as part of an deep learning model, especially as the output layers for audio generation.
Code: https://github.com/magenta/ddsp
Paper: https://arxiv.org/abs/2001.04643v1
GitHub
GitHub - magenta/ddsp: DDSP: Differentiable Digital Signal Processing
DDSP: Differentiable Digital Signal Processing. Contribute to magenta/ddsp development by creating an account on GitHub.
Advbox: a toolbox to generate adversarial examples that fool neural networks
Code: https://github.com/advboxes/AdvBox
Paper: https://arxiv.org/abs/2001.05574v1
Code: https://github.com/advboxes/AdvBox
Paper: https://arxiv.org/abs/2001.05574v1
GitHub
GitHub - advboxes/AdvBox: Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTor…
Advbox is a toolbox to generate adversarial examples that fool neural networks in PaddlePaddle、PyTorch、Caffe2、MxNet、Keras、TensorFlow and Advbox can benchmark the robustness of machine learning mode...