MMEditing is an open source image and video editing toolbox based on PyTorch.
Github: https://github.com/open-mmlab/mmediting
Docs: https://mmediting.readthedocs.io/en/latest/
Paper: https://arxiv.org/abs/2104.13371v1
👉 @bigdata_1
Github: https://github.com/open-mmlab/mmediting
Docs: https://mmediting.readthedocs.io/en/latest/
Paper: https://arxiv.org/abs/2104.13371v1
👉 @bigdata_1
👍1
🔊 Textless NLP: Generating expressive speech from raw audio
Facebook Ai: https://ai.facebook.com/blog/textless-nlp-generating-expressive-speech-from-raw-audio/
Examples: https://speechbot.github.io/pgslm/
Code: https://github.com/pytorch/fairseq/tree/master/examples/textless_nlp/gslm
Paper: https://arxiv.org/abs/2102.01192
👉 @bigdata_1
Facebook Ai: https://ai.facebook.com/blog/textless-nlp-generating-expressive-speech-from-raw-audio/
Examples: https://speechbot.github.io/pgslm/
Code: https://github.com/pytorch/fairseq/tree/master/examples/textless_nlp/gslm
Paper: https://arxiv.org/abs/2102.01192
👉 @bigdata_1
PyTorch Tabular aims to make Deep Learning with Tabular data easy and accessible to real-world cases and research alike.
Github: https://github.com/manujosephv/pytorch_tabular
Paper: https://arxiv.org/abs/2104.13638v1
👉 @bigdata_1
Github: https://github.com/manujosephv/pytorch_tabular
Paper: https://arxiv.org/abs/2104.13638v1
👉 @bigdata_1
✅ AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
👉 @bigdata_1
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
👉 @bigdata_1
👍1
Boosting Co-teaching with Compression Regularization for Label Noise
Github: https://github.com/yingyichen-cyy/Nested-Co-teaching
Paper: https://arxiv.org/abs/2104.13766v1
👉 @bigdata_1
Github: https://github.com/yingyichen-cyy/Nested-Co-teaching
Paper: https://arxiv.org/abs/2104.13766v1
👉 @bigdata_1
🔧 Neural Networks Block Movement Pruning
Code: https://github.com/huggingface/nn_pruning
Paper: https://arxiv.org/abs/2109.04838v1
Documentation: https://github.com/huggingface/nn_pruning/blob/main/docs/HOWTO.md
👉 @bigdata_1
Code: https://github.com/huggingface/nn_pruning
Paper: https://arxiv.org/abs/2109.04838v1
Documentation: https://github.com/huggingface/nn_pruning/blob/main/docs/HOWTO.md
👉 @bigdata_1
Few-Shot Video Object Detection
Github: https://github.com/fanq15/FewX
Paper: https://arxiv.org/abs/2104.14805v1
👉 @bigdata_1
Github: https://github.com/fanq15/FewX
Paper: https://arxiv.org/abs/2104.14805v1
👉 @bigdata_1
📖 Physics-Based Deep Learning
Book: https://www.physicsbaseddeeplearning.org/intro.html
Github: https://github.com/thunil/Physics-Based-Deep-Learning
Deep-Flow-Prediction: https://github.com/thunil/Deep-Flow-Prediction
Paper: https://arxiv.org/abs/2109.05237v1
👉 @bigdata_1
Book: https://www.physicsbaseddeeplearning.org/intro.html
Github: https://github.com/thunil/Physics-Based-Deep-Learning
Deep-Flow-Prediction: https://github.com/thunil/Deep-Flow-Prediction
Paper: https://arxiv.org/abs/2109.05237v1
👉 @bigdata_1
StyleMapGAN - Official PyTorch Implementation
Github: https://github.com/naver-ai/StyleMapGAN
Paper: https://arxiv.org/abs/2104.14754v1
Video: https://youtu.be/qCapNyRA_Ng
👉 @bigdata_1
Github: https://github.com/naver-ai/StyleMapGAN
Paper: https://arxiv.org/abs/2104.14754v1
Video: https://youtu.be/qCapNyRA_Ng
👉 @bigdata_1
✅ AliceMind: ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
👉 @bigdata_1
Github: https://github.com/alibaba/AliceMind
Paper: https://arxiv.org/abs/2109.05687v1
Dataset: https://paperswithcode.com/dataset/glue
👉 @bigdata_1
Python implementation of the Bayesian Knowledge Tracing algorithm and variants, estimating student cognitive mastery from problem solving sequences.
Github: https://github.com/CAHLR/pyBKT
Tutorial: https://colab.research.google.com/drive/13abu919edUXbvPV3qeGPpvwnFBExU7Vd
Paper: https://arxiv.org/abs/2105.00385v1
👉 @bigdata_1
Github: https://github.com/CAHLR/pyBKT
Tutorial: https://colab.research.google.com/drive/13abu919edUXbvPV3qeGPpvwnFBExU7Vd
Paper: https://arxiv.org/abs/2105.00385v1
👉 @bigdata_1
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🗳 Image Shape Manipulation from a Single Augmented Training Sample
Github: https://github.com/eliahuhorwitz/DeepSIM
Paper: https://arxiv.org/abs/2109.06151v1
Dataset: https://paperswithcode.com/dataset/cityscapes
Project: http://www.vision.huji.ac.il/deepsim
👉 @bigdata_1
Github: https://github.com/eliahuhorwitz/DeepSIM
Paper: https://arxiv.org/abs/2109.06151v1
Dataset: https://paperswithcode.com/dataset/cityscapes
Project: http://www.vision.huji.ac.il/deepsim
👉 @bigdata_1
Do You Even Need Attention? A Stack of Feed-Forward Layers Does Surprisingly Well on ImageNet
Github: https://github.com/lukemelas/do-you-even-need-attention
Paper: https://arxiv.org/abs/2105.02723
👉 @bigdata_1
Github: https://github.com/lukemelas/do-you-even-need-attention
Paper: https://arxiv.org/abs/2105.02723
👉 @bigdata_1
DensePhrases is an extractive phrase search tool based on your natural language inputs
Github: https://github.com/princeton-nlp/DensePhrases
Paper: https://arxiv.org/abs/2109.08133v1
Dataset: https://paperswithcode.com/dataset/squad
👉 @bigdata_1
Github: https://github.com/princeton-nlp/DensePhrases
Paper: https://arxiv.org/abs/2109.08133v1
Dataset: https://paperswithcode.com/dataset/squad
👉 @bigdata_1
Deep Implicit Attention: A Mean-Field Theory Perspective on Attention Mechanisms
https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
👉 @bigdata_1
https://mcbal.github.io/post/deep-implicit-attention-a-mean-field-theory-perspective-on-attention-mechanisms/
👉 @bigdata_1
👍2
☄️ Uncertainty-Aware Machine Translation Evaluation
Code: https://github.com/Unbabel/COMET
Paper: https://arxiv.org/abs/2109.06352v1
Documentation: https://unbabel.github.io/COMET/html/index.html
👉 @bigdata_1
Code: https://github.com/Unbabel/COMET
Paper: https://arxiv.org/abs/2109.06352v1
Documentation: https://unbabel.github.io/COMET/html/index.html
👉 @bigdata_1
Two4Two: Evaluating Interpretable Machine Learning -- A Synthetic Dataset For Controlled Experiments
Github: https://github.com/mschuessler/two4two
Paper: https://arxiv.org/abs/2105.02825v1
👉 @bigdata_1
Github: https://github.com/mschuessler/two4two
Paper: https://arxiv.org/abs/2105.02825v1
👉 @bigdata_1
🌳 WildWood: a new Random Forest algorithm
Github: https://github.com/pyensemble/wildwood
Paper: https://arxiv.org/abs/2109.08010v1
Documentation: https://wildwood.readthedocs.io/
👉 @bigdata_1
Github: https://github.com/pyensemble/wildwood
Paper: https://arxiv.org/abs/2109.08010v1
Documentation: https://wildwood.readthedocs.io/
👉 @bigdata_1
Body Meshes as Points
Github: https://github.com/jfzhang95/BMP
Paper: https://arxiv.org/abs/2105.02467v1
👉 @bigdata_1
Github: https://github.com/jfzhang95/BMP
Paper: https://arxiv.org/abs/2105.02467v1
👉 @bigdata_1
Chimera: Learning Shared Semantic Space for Speech-to-Text Translation (Nightly Version)
Github: https://github.com/Glaciohound/Chimera-SLT
Paper: https://arxiv.org/abs/2105.03095
👉 @bigdata_1
Github: https://github.com/Glaciohound/Chimera-SLT
Paper: https://arxiv.org/abs/2105.03095
👉 @bigdata_1