👨 TFace: A trusty face recognition research platform
Github: https://github.com/Tencent/TFace
Paper: https://arxiv.org/abs/2106.05519v1
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Github: https://github.com/Tencent/TFace
Paper: https://arxiv.org/abs/2106.05519v1
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Microsoft's FLAML - Fast and Lightweight AutoML
Github: https://github.com/microsoft/FLAML
Code: https://github.com/microsoft/FLAML/tree/main/notebook/
Paper: https://arxiv.org/abs/2106.04815v1
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Github: https://github.com/microsoft/FLAML
Code: https://github.com/microsoft/FLAML/tree/main/notebook/
Paper: https://arxiv.org/abs/2106.04815v1
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✅ Graph Transformer Networks: Learning Meta-path Graphs to Improve GNNs
Github: https://github.com/seongjunyun/Graph_Transformer_Networks
Paper: https://arxiv.org/abs/2106.06218v1
Dataset: https://github.com/Jhy1993/HAN
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Github: https://github.com/seongjunyun/Graph_Transformer_Networks
Paper: https://arxiv.org/abs/2106.06218v1
Dataset: https://github.com/Jhy1993/HAN
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🧩 A Bayesian Analysis of Lego Prices in Python with PyMC3
https://austinrochford.com/posts/2021-06-10-lego-pymc3.html
Lego Price Analysis: https://austinrochford.com/posts/2021-06-03-vader-meditation.html
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https://austinrochford.com/posts/2021-06-10-lego-pymc3.html
Lego Price Analysis: https://austinrochford.com/posts/2021-06-03-vader-meditation.html
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Facebook's Reverse engineering generative models from a single deepfake image
Github: https://github.com/vishal3477/Reverse_Engineering_GMs
Paper: https://arxiv.org/abs/2106.07873
Facebook's blog: https://ai.facebook.com/blog/reverse-engineering-generative-model-from-a-single-deepfake-image/
Dataset: https://drive.google.com/drive/folders/1ZKQ3t7_Hip9DO6uwljZL4rYAn5viSRhu?usp=sharing
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Github: https://github.com/vishal3477/Reverse_Engineering_GMs
Paper: https://arxiv.org/abs/2106.07873
Facebook's blog: https://ai.facebook.com/blog/reverse-engineering-generative-model-from-a-single-deepfake-image/
Dataset: https://drive.google.com/drive/folders/1ZKQ3t7_Hip9DO6uwljZL4rYAn5viSRhu?usp=sharing
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⬇️ Pysentimiento: A Python toolkit for Sentiment Analysis and Social NLP tasks
Github: https://github.com/pysentimiento/pysentimiento
Paper: https://arxiv.org/abs/2106.09462
English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis
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Github: https://github.com/pysentimiento/pysentimiento
Paper: https://arxiv.org/abs/2106.09462
English model: https://huggingface.co/finiteautomata/bertweet-base-sentiment-analysis
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👍1
🔍 Advancing computer vision research with new Detectron2 Mask R-CNN baselines
Facebook Ai: https://ai.facebook.com/blog/advancing-computer-vision-research-with-new-detectron2-mask-r-cnn-baselines/
Code: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md#new-baselines-using-large-scale-jitter-and-longer-training-schedule
Tensorflow implementation: https://github.com/tensorflow/tpu/tree/master/models/official/detectiona
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Facebook Ai: https://ai.facebook.com/blog/advancing-computer-vision-research-with-new-detectron2-mask-r-cnn-baselines/
Code: https://github.com/facebookresearch/detectron2/blob/master/MODEL_ZOO.md#new-baselines-using-large-scale-jitter-and-longer-training-schedule
Tensorflow implementation: https://github.com/tensorflow/tpu/tree/master/models/official/detectiona
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📘 D2L.ai: Interactive Deep Learning Book with Multi-Framework Code, Math, and Discussions
Github: https://github.com/d2l-ai/d2l-en
Book: https://d2l.ai/
Paper: https://arxiv.org/abs/2106.11342v1
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Github: https://github.com/d2l-ai/d2l-en
Book: https://d2l.ai/
Paper: https://arxiv.org/abs/2106.11342v1
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Cartoon-StyleGan2 🙃 : Fine-tuning StyleGAN2 for Cartoon Face Generation
Github: https://github.com/happy-jihye/Cartoon-StyleGan2
Paper: https://arxiv.org/abs/2106.12445
Colab: https://colab.research.google.com/github/happy-jihye/Cartoon-StyleGan2/blob/main/Cartoon_StyleGAN2.ipynb
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Github: https://github.com/happy-jihye/Cartoon-StyleGan2
Paper: https://arxiv.org/abs/2106.12445
Colab: https://colab.research.google.com/github/happy-jihye/Cartoon-StyleGan2/blob/main/Cartoon_StyleGAN2.ipynb
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🔺 Pyramid Vision Transformer
Image classification, object detection, and semantic segmentation tasks
Github: https://github.com/whai362/PVT
Paper: https://arxiv.org/abs/2106.13797v2
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Image classification, object detection, and semantic segmentation tasks
Github: https://github.com/whai362/PVT
Paper: https://arxiv.org/abs/2106.13797v2
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🔎 Microsoft AutoML - Neural Architecture Search
New one-shot architecture search framework dedicated to vision transformer search
Github: https://github.com/microsoft/AutoML
Paper: https://arxiv.org/abs/2107.00651v1
Models: https://drive.google.com/drive/folders/1NLGAbBF9bA1IUAxKlk2VjgRXhr6RHvRW
Dataset: https://paperswithcode.com/dataset/cifar-10
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New one-shot architecture search framework dedicated to vision transformer search
Github: https://github.com/microsoft/AutoML
Paper: https://arxiv.org/abs/2107.00651v1
Models: https://drive.google.com/drive/folders/1NLGAbBF9bA1IUAxKlk2VjgRXhr6RHvRW
Dataset: https://paperswithcode.com/dataset/cifar-10
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🚀 TensorFlow and PyTorch performance benchmarking in 2021
Habr: https://habr.com/ru/company/ru_mts/blog/565456/
Github: https://github.com/Chifffa/tf_vs_torch_benchmarking
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Habr: https://habr.com/ru/company/ru_mts/blog/565456/
Github: https://github.com/Chifffa/tf_vs_torch_benchmarking
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🔝 Learning Hierarchical Graph Neural Networks for Image Clustering
Github: https://github.com/dmlc/dgl/tree/master/examples/pytorch/hilander
Paper: https://arxiv.org/abs/2107.01319
Datasets: https://drive.google.com/file/d/1KLa3uu9ndaCc7YjnSVRLHpcJVMSz868v/view
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Github: https://github.com/dmlc/dgl/tree/master/examples/pytorch/hilander
Paper: https://arxiv.org/abs/2107.01319
Datasets: https://drive.google.com/file/d/1KLa3uu9ndaCc7YjnSVRLHpcJVMSz868v/view
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🔥1
🌐 Depth-supervised NeRF: Fewer Views and Faster Training for Free
Github: https://github.com/dunbar12138/DSNeRF
Paper: https://arxiv.org/abs/2107.02791v1
Project: https://www.cs.cmu.edu/~dsnerf/
Datasets: https://paperswithcode.com/dataset/3dmatch
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Github: https://github.com/dunbar12138/DSNeRF
Paper: https://arxiv.org/abs/2107.02791v1
Project: https://www.cs.cmu.edu/~dsnerf/
Datasets: https://paperswithcode.com/dataset/3dmatch
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↔️ Independent Encoder for Deep Hierarchical Unsupervised Image-to-Image Translation
Github: https://github.com/Elvinky/IEGAN
Paper: https://arxiv.org/abs/2107.02494
Datasets: https://github.com/Elvinky/IEGAN/tree/main/dataset
Image-to-Image Translation: https://paperswithcode.com/task/image-to-image-translation
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Github: https://github.com/Elvinky/IEGAN
Paper: https://arxiv.org/abs/2107.02494
Datasets: https://github.com/Elvinky/IEGAN/tree/main/dataset
Image-to-Image Translation: https://paperswithcode.com/task/image-to-image-translation
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📐 Googl's Measuring and Improving Model-Moderator Collaboration using Uncertainty Estimation
Providing high-quality implementations of standard and state-of-the-art methods on standard tasks.
Github: https://github.com/google/uncertainty-baselines
Paper: https://arxiv.org/abs/2107.04212v1
Dataset: https://www.tensorflow.org/datasets
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Providing high-quality implementations of standard and state-of-the-art methods on standard tasks.
Github: https://github.com/google/uncertainty-baselines
Paper: https://arxiv.org/abs/2107.04212v1
Dataset: https://www.tensorflow.org/datasets
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GitHub
GitHub - google/uncertainty-baselines: High-quality implementations of standard and SOTA methods on a variety of tasks.
High-quality implementations of standard and SOTA methods on a variety of tasks. - google/uncertainty-baselines
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⚛ Highly accurate protein structure prediction with AlphaFoldhttps://deepmind.com/blog/article/putting-the-power-of-alphafold-into-the-worlds-hands
Github: https://github.com/deepmind/alphafold
Paper: https://doi.org/10.1038/s41586-021-03819-2
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👨🎓 From economists to data scientists or how to become the leader of the Kaggle Notebooks rating
Habr: https://habr.com/ru/company/ru_mts/blog/567678/
Exploration of data step by step: https://www.kaggle.com/artgor/exploration-of-data-step-by-step
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Habr: https://habr.com/ru/company/ru_mts/blog/567678/
Exploration of data step by step: https://www.kaggle.com/artgor/exploration-of-data-step-by-step
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📖 GFP-GAN: Towards Real-World Blind Face Restoration with Generative Facial Prior
Github: https://github.com/TencentARC/GFPGAN
Paper: https://arxiv.org/abs/2101.04061v2
Dataset: https://paperswithcode.com/dataset/lfw
Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
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Github: https://github.com/TencentARC/GFPGAN
Paper: https://arxiv.org/abs/2101.04061v2
Dataset: https://paperswithcode.com/dataset/lfw
Colab Demo: https://colab.research.google.com/drive/1sVsoBd9AjckIXThgtZhGrHRfFI6UUYOo
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🐍 PyTorch Fundamentals Free Microsoft Course
https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/
Ru: https://docs.microsoft.com/ru-ru/learn/paths/pytorch-fundamentals/
Github: https://github.com/pytorch/tutorials
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https://docs.microsoft.com/en-us/learn/paths/pytorch-fundamentals/
Ru: https://docs.microsoft.com/ru-ru/learn/paths/pytorch-fundamentals/
Github: https://github.com/pytorch/tutorials
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