🦏 DoubleML - Double Machine Learning in Python
Github: https://github.com/DoubleML/doubleml-for-py
Paper: https://arxiv.org/abs/2104.03220v1
Docs: https://docs.doubleml.org/stable/index.html
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Github: https://github.com/DoubleML/doubleml-for-py
Paper: https://arxiv.org/abs/2104.03220v1
Docs: https://docs.doubleml.org/stable/index.html
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GitHub
GitHub - DoubleML/doubleml-for-py: DoubleML - Double Machine Learning in Python
DoubleML - Double Machine Learning in Python. Contribute to DoubleML/doubleml-for-py development by creating an account on GitHub.
💬 New Facebook's Casual Conversations Dataset over 45,000 videos
Dataset: https://ai.facebook.com/datasets/casual-conversations-dataset/
Paper: https://ai.facebook.com/blog/shedding-light-on-fairness-in-ai-with-a-new-data-set/
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Dataset: https://ai.facebook.com/datasets/casual-conversations-dataset/
Paper: https://ai.facebook.com/blog/shedding-light-on-fairness-in-ai-with-a-new-data-set/
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👍1
Implicit Neural Representations with Periodic Activation Functions
Github: https://github.com/lucidrains/siren-pytorch
Paper: https://arxiv.org/abs/2006.09661
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Github: https://github.com/lucidrains/siren-pytorch
Paper: https://arxiv.org/abs/2006.09661
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👍1🤝1
PaddleGAN provides developers with high-performance implementation of classic and SOTA Generative Adversarial Networks
Github: https://github.com/PaddlePaddle/PaddleGAN
Paper: https://arxiv.org/abs/2104.05376v1
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Github: https://github.com/PaddlePaddle/PaddleGAN
Paper: https://arxiv.org/abs/2104.05376v1
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🧠 Lite-HRNet: A Lightweight High-Resolution Network
Github: https://github.com/HRNet/Lite-HRNet
Paper: https://arxiv.org/abs/2104.06403
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Github: https://github.com/HRNet/Lite-HRNet
Paper: https://arxiv.org/abs/2104.06403
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How to Perform Voice Gender Recognition using TensorFlow in Python
https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python
Code: https://github.com/x4nth055/gender-recognition-by-voice
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https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python
Code: https://github.com/x4nth055/gender-recognition-by-voice
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Open Source Experimental Design Software in the Age of AI
Github: https://github.com/yunshengtian/AutoOED
Paper: https://arxiv.org/abs/2104.05959
Project: https://www.autooed.org/
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Github: https://github.com/yunshengtian/AutoOED
Paper: https://arxiv.org/abs/2104.05959
Project: https://www.autooed.org/
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TensorFlow input pipelines | TensorFlow Core
https://www.tensorflow.org/guide/data
Code: https://github.com/tensorflow/docs/blob/master/site/en/guide/data.ipynb
https://www.tensorflow.org/guide/data
Code: https://github.com/tensorflow/docs/blob/master/site/en/guide/data.ipynb
TensorFlow
tf.data: Build TensorFlow input pipelines | TensorFlow Core
🔍 Zooming-Slow-Mo
Code: https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
Paper: https://arxiv.org/abs/2104.07473
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Code: https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
Paper: https://arxiv.org/abs/2104.07473
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Microsoft's ProphetNet-X: Large-Scale Pre-training Models for English, Multi-lingual, Dialog, and Code Generation
Code: https://github.com/microsoft/ProphetNet
Paper: https://arxiv.org/pdf/2001.04063.pdf
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Code: https://github.com/microsoft/ProphetNet
Paper: https://arxiv.org/pdf/2001.04063.pdf
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TediGAN: Text-Guided Diverse Face Image Generation and Manipulation in PyTorch.
Github: https://github.com/IIGROUP/TediGAN
Dataset: https://github.com/IIGROUP/Multi-Modal-CelebA-HQ-Dataset
Paper: https://arxiv.org/abs/2104.08910v1
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Github: https://github.com/IIGROUP/TediGAN
Dataset: https://github.com/IIGROUP/Multi-Modal-CelebA-HQ-Dataset
Paper: https://arxiv.org/abs/2104.08910v1
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Graph-based Neural Structured Learning in TFX | TensorFlow
https://www.tensorflow.org/tfx/tutorials/tfx/neural_structured_learning
Code: https://github.com/tensorflow/tfx/blob/master/docs/tutorials/tfx/neural_structured_learning.ipynb
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https://www.tensorflow.org/tfx/tutorials/tfx/neural_structured_learning
Code: https://github.com/tensorflow/tfx/blob/master/docs/tutorials/tfx/neural_structured_learning.ipynb
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TensorFlow
Graph-based Neural Structured Learning in TFX | TensorFlow
VideoGPT: Video Generation using VQ-VAE and Transformers
Github: https://github.com/wilson1yan/VideoGPT
Paper: https://arxiv.org/abs/2104.10157
Demo: https://gradio.app/g/AK391/VideoGPT
Latent Video Transformer: https://arxiv.org/abs/2006.10704
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Github: https://github.com/wilson1yan/VideoGPT
Paper: https://arxiv.org/abs/2104.10157
Demo: https://gradio.app/g/AK391/VideoGPT
Latent Video Transformer: https://arxiv.org/abs/2006.10704
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🌐 MMDetection3D is an open source object detection toolbox based on PyTorch, towards the next-generation platform for general 3D detection
Github: https://github.com/open-mmlab/mmdetection3d
Paper: https://arxiv.org/abs/2104.10956v1
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Github: https://github.com/open-mmlab/mmdetection3d
Paper: https://arxiv.org/abs/2104.10956v1
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Token Labeling: Training a 85.4% Top-1 Accuracy Vision Transformer with 56M Parameters on ImageNet
Github: https://github.com/zihangJiang/TokenLabeling
Paper: https://arxiv.org/abs/2104.10858v2
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Github: https://github.com/zihangJiang/TokenLabeling
Paper: https://arxiv.org/abs/2104.10858v2
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EigenGAN
TensorFlow implementation of EigenGAN: Layer-Wise Eigen-Learning for GANs
Github: https://github.com/LynnHo/EigenGAN-Tensorflow
Paper: https://arxiv.org/abs/2104.12476v1
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TensorFlow implementation of EigenGAN: Layer-Wise Eigen-Learning for GANs
Github: https://github.com/LynnHo/EigenGAN-Tensorflow
Paper: https://arxiv.org/abs/2104.12476v1
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Leveraging Machine Learning for Game Development
https://ai.googleblog.com/2021/03/leveraging-machine-learning-for-game.html
Habr: https://habr.com/ru/company/google/blog/553346/
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https://ai.googleblog.com/2021/03/leveraging-machine-learning-for-game.html
Habr: https://habr.com/ru/company/google/blog/553346/
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Understanding Autoencoders With Examples
https://www.nbshare.io/notebook/86916405/Understanding-Autoencoders-With-Examples/
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https://www.nbshare.io/notebook/86916405/Understanding-Autoencoders-With-Examples/
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🔥Self-Supervised Vision Transformers with DINO
Github: https://github.com/facebookresearch/dino
Facebook blog: https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training
Paper: https://arxiv.org/abs/2104.14294
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Github: https://github.com/facebookresearch/dino
Facebook blog: https://ai.facebook.com/blog/dino-paws-computer-vision-with-self-supervised-transformers-and-10x-more-efficient-training
Paper: https://arxiv.org/abs/2104.14294
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🚀 This is an open source toolkit called s3prl, which stands for Self-Supervised Speech Pre-training and Representation Learning
Github: https://github.com/s3prl/s3prl
Paper: https://arxiv.org/abs/2105.01051v1
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Github: https://github.com/s3prl/s3prl
Paper: https://arxiv.org/abs/2105.01051v1
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