🔝 Top 10 Computer Vision Papers 2020
https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html
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https://www.kdnuggets.com/2021/01/top-10-computer-vision-papers-2020.html
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Datasets
Datasets collected for network science, deep learning and general machine learning research.
Github: https://github.com/benedekrozemberczki/datasets
Paper: https://arxiv.org/abs/2101.03091v1
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Datasets collected for network science, deep learning and general machine learning research.
Github: https://github.com/benedekrozemberczki/datasets
Paper: https://arxiv.org/abs/2101.03091v1
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GitHub
GitHub - benedekrozemberczki/datasets: A repository of pretty cool datasets that I collected for network science and machine learning…
A repository of pretty cool datasets that I collected for network science and machine learning research. - benedekrozemberczki/datasets
FaceX-Zoo: A PyTorch Toolbox for Face Recognition
Github: https://github.com/JDAI-CV/faceX-Zoo
Paper: https://arxiv.org/abs/2101.04407v2
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Github: https://github.com/JDAI-CV/faceX-Zoo
Paper: https://arxiv.org/abs/2101.04407v2
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🪐 A Bayesian neural network predicts the dissolution of compact planetary systems
Post/code: https://astroautomata.com/paper/bnn-instability-model/
API: https://github.com/dtamayo/spock
Paper: https://arxiv.org/abs/2101.04117
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Post/code: https://astroautomata.com/paper/bnn-instability-model/
API: https://github.com/dtamayo/spock
Paper: https://arxiv.org/abs/2101.04117
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🔥 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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🦾 Robustness Gym is a Python evaluation toolkit for natural language processing.
Github: https://github.com/robustness-gym/robustness-gym
Paper: https://arxiv.org/abs/2101.04840v1
Project: https://robustnessgym.com/
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Github: https://github.com/robustness-gym/robustness-gym
Paper: https://arxiv.org/abs/2101.04840v1
Project: https://robustnessgym.com/
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Extreme Gradient Boosting (XGBoost) with R and Python
https://datascience-enthusiast.com/R/ML_python_R_part2.html
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https://datascience-enthusiast.com/R/ML_python_R_part2.html
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Pixellib is a library for performing segmentation of objects in images and videos.
Github: https://github.com/ayoolaolafenwa/PixelLib
Paper: https://vixra.org/abs/2101.0122
Documentation: https://pixellib.readthedocs.io/en/latest/
Video: https://www.youtube.com/watch?v=hxczTe9U8jY&feature=emb_logo&ab_channel=AyoolaOlafenwa
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Github: https://github.com/ayoolaolafenwa/PixelLib
Paper: https://vixra.org/abs/2101.0122
Documentation: https://pixellib.readthedocs.io/en/latest/
Video: https://www.youtube.com/watch?v=hxczTe9U8jY&feature=emb_logo&ab_channel=AyoolaOlafenwa
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🌳 Neural-Backed Decision Trees
Demo: https://research.alvinwan.com/neural-backed-decision-trees/
Github: https://github.com/alvinwan/neural-backed-decision-trees
Paper: https://arxiv.org/abs/2004.00221
Code: https://colab.research.google.com/github/alvinwan/neural-backed-decision-trees/blob/master/examples/load_pretrained_nbdts.ipynb
Dataset: https://pytorch.org/docs/stable/torchvision/datasets.html
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Demo: https://research.alvinwan.com/neural-backed-decision-trees/
Github: https://github.com/alvinwan/neural-backed-decision-trees
Paper: https://arxiv.org/abs/2004.00221
Code: https://colab.research.google.com/github/alvinwan/neural-backed-decision-trees/blob/master/examples/load_pretrained_nbdts.ipynb
Dataset: https://pytorch.org/docs/stable/torchvision/datasets.html
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👍1
🐍 Machine Learning From Scratch In Python - Full Course With 12 Algorithms
Video: https://www.youtube.com/watch?v=rLOyrWV8gmA&ab_channel=PythonEngineer
Code: https://github.com/python-engineer/MLfromscratch/tree/master/mlfromscratch
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Video: https://www.youtube.com/watch?v=rLOyrWV8gmA&ab_channel=PythonEngineer
Code: https://github.com/python-engineer/MLfromscratch/tree/master/mlfromscratch
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🧍 TIN: Transferable Interactiveness Network
Github: https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network
HOI-Learning-List: https://github.com/DirtyHarryLYL/HOI-Learning-List
Paper: https://arxiv.org/abs/2101.10292v1
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Github: https://github.com/DirtyHarryLYL/Transferable-Interactiveness-Network
HOI-Learning-List: https://github.com/DirtyHarryLYL/HOI-Learning-List
Paper: https://arxiv.org/abs/2101.10292v1
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Bottleneck Transformer - Pytorch
Github: https://github.com/lucidrains/bottleneck-transformer-pytorch
Bottleneck Transformers : https://github.com/leaderj1001/BottleneckTransformers
Paper: https://arxiv.org/abs/2101.11605v1
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Github: https://github.com/lucidrains/bottleneck-transformer-pytorch
Bottleneck Transformers : https://github.com/leaderj1001/BottleneckTransformers
Paper: https://arxiv.org/abs/2101.11605v1
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💻 Learning to Reason Over Tables from Less Data
Google research: https://ai.googleblog.com/2021/01/learning-to-reason-over-tables-from.html
Code: https://github.com/google-research/tapas
Colab: https://colab.research.google.com/github/google-research/tapas/blob/master/notebooks/tabfact_predictions.ipynb
Dataset: https://www.microsoft.com/en-us/download/details.aspx?id=54253
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Google research: https://ai.googleblog.com/2021/01/learning-to-reason-over-tables-from.html
Code: https://github.com/google-research/tapas
Colab: https://colab.research.google.com/github/google-research/tapas/blob/master/notebooks/tabfact_predictions.ipynb
Dataset: https://www.microsoft.com/en-us/download/details.aspx?id=54253
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Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet, arxiv
Github: https://github.com/yitu-opensource/T2T-ViT
Paper: https://arxiv.org/abs/2101.11986
ImageNet training: https://github.com/pytorch/examples/tree/master/imagenet
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Github: https://github.com/yitu-opensource/T2T-ViT
Paper: https://arxiv.org/abs/2101.11986
ImageNet training: https://github.com/pytorch/examples/tree/master/imagenet
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👁 TRANSFER LEARNING FOR COMPUTER VISION TUTORIAL WITH PYTORCH
TUTORIAL: https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html
Github: https://github.com/pytorch/tutorials/blob/master/beginner_source/transfer_learning_tutorial.py
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TUTORIAL: https://pytorch.org/tutorials/beginner/transfer_learning_tutorial.html
Github: https://github.com/pytorch/tutorials/blob/master/beginner_source/transfer_learning_tutorial.py
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WeNet open source, production first and production ready end-to-end (E2E) speech recognition toolkit
Github: https://github.com/mobvoi/wenet
Paper: https://arxiv.org/abs/2102.01547v1
Tutorial: https://github.com/mobvoi/wenet/blob/main/docs/tutorial.md
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Github: https://github.com/mobvoi/wenet
Paper: https://arxiv.org/abs/2102.01547v1
Tutorial: https://github.com/mobvoi/wenet/blob/main/docs/tutorial.md
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Knover allows researchers and developers efficient training/inference of large-scale dialogue generation models.
Github: https://github.com/PaddlePaddle/Knover
Paper: https://arxiv.org/abs/2102.02096v1
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Github: https://github.com/PaddlePaddle/Knover
Paper: https://arxiv.org/abs/2102.02096v1
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👍1
Only a Matter of Style: Age Transformation Using a Style-Based Regression Model
Github: https://github.com/yuval-alaluf/SAM
Paper: https://arxiv.org/abs/2102.02754v1
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Github: https://github.com/yuval-alaluf/SAM
Paper: https://arxiv.org/abs/2102.02754v1
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