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Visualisation of the attention patterns of Vision Transformer
link: https://epfml.github.io/attention-cnn/
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link: https://epfml.github.io/attention-cnn/
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Rotated Binary Neural Network
Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
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Github (Pytorch implementation): https://github.com/lmbxmu/RBNN
Paper: https://arxiv.org/abs/2009.13055
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GitHub
GitHub - lmbxmu/RBNN: Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network
Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network - lmbxmu/RBNN
Adversarial Examples in Deep Learning.
https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
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https://blog.djsarkar.ai/adversarial-learning-attacks-1/
Github: https://github.com/dipanjanS/adversarial-learning-robustness
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Feature Selection with Stochastic Optimization Algorithms
https://machinelearningmastery.com/feature-selection-with-optimization/
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https://machinelearningmastery.com/feature-selection-with-optimization/
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💉 MeDAL: Medical Abbreviation Disambiguation Dataset for Natural Language Understanding Pretraining
Github: https://github.com/BruceWen120/medal
Paper: https://arxiv.org/abs/2012.13978v1
Dataset: https://www.kaggle.com/xhlulu/medal-emnlp
Pre-trained: https://huggingface.co/xhlu/electra-medal
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Github: https://github.com/BruceWen120/medal
Paper: https://arxiv.org/abs/2012.13978v1
Dataset: https://www.kaggle.com/xhlulu/medal-emnlp
Pre-trained: https://huggingface.co/xhlu/electra-medal
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Generating Beautiful Neural Network Visualizations
https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
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https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
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180 Data Science and Machine Learning Projects with Python
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
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https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
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How to Create Custom Real-time Plots in Deep Learning
https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
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https://www.kdnuggets.com/2020/12/create-custom-real-time-plots-deep-learning.html
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KDnuggets
How to Create Custom Real-time Plots in Deep Learning - KDnuggets
How to generate real-time visualizations of custom metrics while training a deep learning model using Keras callbacks.
Not All Memories are Created Equal: Learning to Expire
Github: https://github.com/lucidrains/learning-to-expire-pytorch
Paper: https://openreview.net/forum?id=ZVBtN6B_6i7
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Github: https://github.com/lucidrains/learning-to-expire-pytorch
Paper: https://openreview.net/forum?id=ZVBtN6B_6i7
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🚀 DALL·E is a 12-billion parameter version of GPT-3 trained to generate images from text descriptions
Introduction: https://openai.com/blog/tags/multimodal/
Deepmind Blog: https://openai.com/blog/dall-e/
Github: https://github.com/openai/CLIP
Paper: https://cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language.pdf
Colab: https://colab.research.google.com/github/openai/clip/blob/master/Interacting_with_CLIP.ipynb
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Introduction: https://openai.com/blog/tags/multimodal/
Deepmind Blog: https://openai.com/blog/dall-e/
Github: https://github.com/openai/CLIP
Paper: https://cdn.openai.com/papers/Learning_Transferable_Visual_Models_From_Natural_Language.pdf
Colab: https://colab.research.google.com/github/openai/clip/blob/master/Interacting_with_CLIP.ipynb
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🔇 Deep Noise Suppression Challenge – ICASSP 2021
Github: https://github.com/microsoft/DNS-Challenge
Paper: https://arxiv.org/abs/2101.01902v1
Training and test datasets: https://github.com/microsoft/DNS-Challenge/tree/master/datasets
Challenge: https://www.microsoft.com/en-us/research/academic-program/deep-noise-suppression-challenge-icassp-2021/
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Github: https://github.com/microsoft/DNS-Challenge
Paper: https://arxiv.org/abs/2101.01902v1
Training and test datasets: https://github.com/microsoft/DNS-Challenge/tree/master/datasets
Challenge: https://www.microsoft.com/en-us/research/academic-program/deep-noise-suppression-challenge-icassp-2021/
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GitHub
GitHub - microsoft/DNS-Challenge: This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS)…
This repo contains the scripts, models, and required files for the Deep Noise Suppression (DNS) Challenge. - GitHub - microsoft/DNS-Challenge: This repo contains the scripts, models, and required...
👉Lecture Notes for Linear Algebra Featuring Python
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GitHub link : https://github.com/MacroAnalyst/Linear_Algebra_With_Python
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GitHub link : https://github.com/MacroAnalyst/Linear_Algebra_With_Python
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GitHub
GitHub - weijie-chen/Linear-Algebra-With-Python: Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes…
Lecture Notes for Linear Algebra Featuring Python. This series of lecture notes will walk you through all the must-know concepts that set the foundation of data science or advanced quantitative ski...
DENet: a deep architecture for audio surveillance applications
GIthub: https://github.com/MiviaLab/DENet
Paper: https://link.springer.com/article/10.1007/s00521-020-05572-5
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GIthub: https://github.com/MiviaLab/DENet
Paper: https://link.springer.com/article/10.1007/s00521-020-05572-5
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GitHub
GitHub - MiviaLab/DENet: This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance…
This repository contains the code related to the paper 'DENet: a deep architecture for audio surveillance applications'. - MiviaLab/DENet
Gender recognition in the wild: a robustness evaluation over corrupted images
Github: https://github.com/MiviaLab/GenderRecognitionFramework
Paper: https://link.springer.com/article/10.1007/s12652-020-02750-0
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Github: https://github.com/MiviaLab/GenderRecognitionFramework
Paper: https://link.springer.com/article/10.1007/s12652-020-02750-0
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GitHub
GitHub - MiviaLab/GenderRecognitionFramework
Contribute to MiviaLab/GenderRecognitionFramework development by creating an account on GitHub.
Superpixel-based Refinement for Object Proposal Generation
Github: https://github.com/chwilms/superpixelRefinement
Paper: https://arxiv.org/abs/2101.04574v1
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Github: https://github.com/chwilms/superpixelRefinement
Paper: https://arxiv.org/abs/2101.04574v1
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GitHub
GitHub - chwilms/superpixelRefinement: Superpixel-based Refinement for Object Proposal Generation (ICPR 2020)
Superpixel-based Refinement for Object Proposal Generation (ICPR 2020) - chwilms/superpixelRefinement
🔥 Fast convolutional neural networks on FPGAs with hls4ml
Github: https://github.com/fastmachinelearning/hls4ml
Paper: https://arxiv.org/abs/2101.05108v1
Documentation: https://fastmachinelearning.org/hls4ml/
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Github: https://github.com/fastmachinelearning/hls4ml
Paper: https://arxiv.org/abs/2101.05108v1
Documentation: https://fastmachinelearning.org/hls4ml/
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