UniverseNet
UniverseNet is the state-of-the-art detector that can be trained in 24 epochs.
Github: https://github.com/shinya7y/UniverseNet
Paper: https://arxiv.org/abs/2103.14027v1
@ai_machinelearning_big_data
UniverseNet is the state-of-the-art detector that can be trained in 24 epochs.
Github: https://github.com/shinya7y/UniverseNet
Paper: https://arxiv.org/abs/2103.14027v1
@ai_machinelearning_big_data
TransT - Transformer Tracking
Github: https://github.com/chenxin-dlut/TransT
Paper: https://arxiv.org/abs/2103.15436
Model: https://drive.google.com/drive/folders/1GVQV1GoW-ttDJRRqaVAtLUtubtgLhWCE
@ai_machinelearning_big_data
Github: https://github.com/chenxin-dlut/TransT
Paper: https://arxiv.org/abs/2103.15436
Model: https://drive.google.com/drive/folders/1GVQV1GoW-ttDJRRqaVAtLUtubtgLhWCE
@ai_machinelearning_big_data
Hyperbolic Graph Convolutional Auto-Encoders
Github: https://github.com/junhocho/HGCAE
Paper: https://arxiv.org/abs/2103.16046
@ai_machinelearning_big_data
Github: https://github.com/junhocho/HGCAE
Paper: https://arxiv.org/abs/2103.16046
@ai_machinelearning_big_data
⚡️ NeX: Real-time View Synthesis with Neural Basis Expansion
Github: https://github.com/nex-mpi/nex-code
Real-time View Synthesis with Python Code: https://analyticsindiamag.com/what-is-nex-guide-to-real-time-view-synthesis-with-python-code/
Project: https://nex-mpi.github.io/
Paper: https://arxiv.org/pdf/2103.05606.pdf
Video: https://www.youtube.com/watch?v=HyfkF7Z-ddA&ab_channel=SupasornSuwajanakorn
@ai_machinelearning_big_data
Github: https://github.com/nex-mpi/nex-code
Real-time View Synthesis with Python Code: https://analyticsindiamag.com/what-is-nex-guide-to-real-time-view-synthesis-with-python-code/
Project: https://nex-mpi.github.io/
Paper: https://arxiv.org/pdf/2103.05606.pdf
Video: https://www.youtube.com/watch?v=HyfkF7Z-ddA&ab_channel=SupasornSuwajanakorn
@ai_machinelearning_big_data
This media is not supported in your browser
VIEW IN TELEGRAM
EasyMocap is an open-source toolbox for markerless human motion capture from RGB videos
Github: https://github.com/zju3dv/EasyMocap
Paper: https://arxiv.org/abs/2104.00340v1
@ai_machinelearning_big_data
Github: https://github.com/zju3dv/EasyMocap
Paper: https://arxiv.org/abs/2104.00340v1
@ai_machinelearning_big_data
👁 Learning Spatio-Temporal Transformer for Visual Tracking
Github: https://github.com/researchmm/Stark
Paper: https://arxiv.org/abs/2103.17154v1
@ai_machinelearning_big_data
Github: https://github.com/researchmm/Stark
Paper: https://arxiv.org/abs/2103.17154v1
@ai_machinelearning_big_data
Audio-Visual Event Localization in Unconstrained Videos
https://sites.google.com/view/audiovisualresearch
Github: https://github.com/YapengTian/AVE-ECCV18
Paper: https://arxiv.org/abs/1803.08842
@ai_machinelearning_big_data
https://sites.google.com/view/audiovisualresearch
Github: https://github.com/YapengTian/AVE-ECCV18
Paper: https://arxiv.org/abs/1803.08842
@ai_machinelearning_big_data
Timers and Such: A Practical Benchmark for Spoken Language Understanding with Numbers
Github: https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such
Dataset: https://zenodo.org/record/4623772#.YG08zhQzZs9
Paper: https://arxiv.org/abs/2104.01604v1
@ai_machinelearning_big_data
Github: https://github.com/speechbrain/speechbrain/tree/develop/recipes/timers-and-such
Dataset: https://zenodo.org/record/4623772#.YG08zhQzZs9
Paper: https://arxiv.org/abs/2104.01604v1
@ai_machinelearning_big_data
GitHub
speechbrain/recipes/timers-and-such at develop · speechbrain/speechbrain
A PyTorch-based Speech Toolkit. Contribute to speechbrain/speechbrain development by creating an account on GitHub.
👍1
Regularizing Generative Adversarial Networks under Limited Data
Github: https://github.com/google/lecam-gan
Paper: https://arxiv.org/abs/2104.03310
https://hytseng0509.github.io/lecam-gan/
@ai_machinelearning_big_data
Github: https://github.com/google/lecam-gan
Paper: https://arxiv.org/abs/2104.03310
https://hytseng0509.github.io/lecam-gan/
@ai_machinelearning_big_data
📗 New updates: Interpretable Machine Learning
A Guide for Making Black Box Models Explainable.
https://christophm.github.io/interpretable-ml-book/
@ai_machinelearning_big_data
A Guide for Making Black Box Models Explainable.
https://christophm.github.io/interpretable-ml-book/
@ai_machinelearning_big_data
🦏 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
@ai_machinelearning_big_data
Github: https://github.com/DoubleML/doubleml-for-py
Paper: https://arxiv.org/abs/2104.03220v1
Docs: https://docs.doubleml.org/stable/index.html
@ai_machinelearning_big_data
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/
@ai_machinelearning_big_data
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/
@ai_machinelearning_big_data
👍1
Implicit Neural Representations with Periodic Activation Functions
Github: https://github.com/lucidrains/siren-pytorch
Paper: https://arxiv.org/abs/2006.09661
@ai_machinelearning_big_data
Github: https://github.com/lucidrains/siren-pytorch
Paper: https://arxiv.org/abs/2006.09661
@ai_machinelearning_big_data
👍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
@ai_machinelearning_big_data
Github: https://github.com/PaddlePaddle/PaddleGAN
Paper: https://arxiv.org/abs/2104.05376v1
@ai_machinelearning_big_data
🧠 Lite-HRNet: A Lightweight High-Resolution Network
Github: https://github.com/HRNet/Lite-HRNet
Paper: https://arxiv.org/abs/2104.06403
@ai_machinelearning_big_data
Github: https://github.com/HRNet/Lite-HRNet
Paper: https://arxiv.org/abs/2104.06403
@ai_machinelearning_big_data
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
@ai_machinelearning_big_data
https://www.thepythoncode.com/article/gender-recognition-by-voice-using-tensorflow-in-python
Code: https://github.com/x4nth055/gender-recognition-by-voice
@ai_machinelearning_big_data
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/
@ai_machinelearning_big_data
Github: https://github.com/yunshengtian/AutoOED
Paper: https://arxiv.org/abs/2104.05959
Project: https://www.autooed.org/
@ai_machinelearning_big_data
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
@ai_machinelearning_big_data
Code: https://github.com/Mukosame/Zooming-Slow-Mo-CVPR-2020
Paper: https://arxiv.org/abs/2104.07473
@ai_machinelearning_big_data
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
@ai_machinelearning_big_data
Code: https://github.com/microsoft/ProphetNet
Paper: https://arxiv.org/pdf/2001.04063.pdf
@ai_machinelearning_big_data