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
@ai_machinelearning_big_data
Github: https://github.com/yuval-alaluf/SAM
Paper: https://arxiv.org/abs/2102.02754v1
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MeInGame: Create a Game Character Face from a Single Portrait
Github : https://github.com/FuxiCV/MeInGame
Paper: https://arxiv.org/abs/2102.02371v1
Demo: https://www.youtube.com/watch?v=597cvKOegfE&feature=youtu.be&ab_channel=EdwardLin
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Github : https://github.com/FuxiCV/MeInGame
Paper: https://arxiv.org/abs/2102.02371v1
Demo: https://www.youtube.com/watch?v=597cvKOegfE&feature=youtu.be&ab_channel=EdwardLin
@ai_machinelearning_big_data
❤1
🎨 Colorization Transformer by Google
💻 Github: https://github.com/google-research/google-research/tree/master/coltran
📝 Paper: https://arxiv.org/abs/2102.04432v1
🌐 Pre-trained model: https://console.cloud.google.com/storage/browser/gresearch/coltran;tab=objects?pli=1&prefix=&forceOnObjectsSortingFiltering=false
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💻 Github: https://github.com/google-research/google-research/tree/master/coltran
📝 Paper: https://arxiv.org/abs/2102.04432v1
🌐 Pre-trained model: https://console.cloud.google.com/storage/browser/gresearch/coltran;tab=objects?pli=1&prefix=&forceOnObjectsSortingFiltering=false
@ai_machinelearning_big_data
🔊 Deep Perceptual Audio Metric (DPAM)
Github : https://github.com/pranaymanocha/PerceptualAudio
Paper: https://arxiv.org/abs/2102.05109v1
Website: https://pixl.cs.princeton.edu/pubs/Manocha_2021_CCL/index.php
Video: https://www.youtube.com/watch?v=yOceeut_4Gg&ab_channel=PranayManocha
@ai_machinelearning_big_data
Github : https://github.com/pranaymanocha/PerceptualAudio
Paper: https://arxiv.org/abs/2102.05109v1
Website: https://pixl.cs.princeton.edu/pubs/Manocha_2021_CCL/index.php
Video: https://www.youtube.com/watch?v=yOceeut_4Gg&ab_channel=PranayManocha
@ai_machinelearning_big_data
🚀 High-Performance Large-Scale Image Recognition Without Normalization
Github: https://github.com/deepmind/deepmind-research/tree/master/nfnets
Paper: https://arxiv.org/abs/2102.06171v1
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Github: https://github.com/deepmind/deepmind-research/tree/master/nfnets
Paper: https://arxiv.org/abs/2102.06171v1
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GitHub
deepmind-research/nfnets at master · google-deepmind/deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications - google-deepmind/deepmind-research
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🧪 Alchemy: A structured task distribution for meta-reinforcement learning
Deepmind: https://deepmind.com/research/publications/alchemy
Github: https://github.com/deepmind/dm_alchemy
Paper: https://arxiv.org/abs/2102.02926
@ai_machinelearning_big_data
Deepmind: https://deepmind.com/research/publications/alchemy
Github: https://github.com/deepmind/dm_alchemy
Paper: https://arxiv.org/abs/2102.02926
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👁 18 All-Time Classic Open Source Computer Vision Projects for Beginners
https://www.analyticsvidhya.com/blog/2020/09/18-open-source-computer-vision-projects-beginners/
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https://www.analyticsvidhya.com/blog/2020/09/18-open-source-computer-vision-projects-beginners/
@ai_machinelearning_big_data
👍1
💪 These Neural Networks Have Superpowers!
Github: https://github.com/CompVis/taming-transformers
Taming Transformers for High-Resolution Image Synthesis: https://compvis.github.io/taming-transformers/
Paper: https://arxiv.org/abs/2012.09841
Video: https://www.youtube.com/watch?v=o7dqGcLDf0A&ab_channel=TwoMinutePapers
@ai_machinelearning_big_data
Github: https://github.com/CompVis/taming-transformers
Taming Transformers for High-Resolution Image Synthesis: https://compvis.github.io/taming-transformers/
Paper: https://arxiv.org/abs/2012.09841
Video: https://www.youtube.com/watch?v=o7dqGcLDf0A&ab_channel=TwoMinutePapers
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📍TransGAN: Two Transformers Can Make One Strong GAN
Github: https://github.com/VITA-Group/TransGAN
Paper: https://arxiv.org/abs/2102.07074
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Github: https://github.com/VITA-Group/TransGAN
Paper: https://arxiv.org/abs/2102.07074
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👍1
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🕹 Mastering Atari with Discrete World Models
Github: https://github.com/danijar/dreamerv2
Google research: https://ai.googleblog.com/2021/02/mastering-atari-with-discrete-world.html
Paper: https://arxiv.org/abs/2010.02193
@ai_machinelearning_big_data
Github: https://github.com/danijar/dreamerv2
Google research: https://ai.googleblog.com/2021/02/mastering-atari-with-discrete-world.html
Paper: https://arxiv.org/abs/2010.02193
@ai_machinelearning_big_data
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Unbiased Teacher for Semi-Supervised Object Detection
Github: https://github.com/facebookresearch/unbiased-teacher
Paper: https://arxiv.org/abs/2102.09480
Project: https://ycliu93.github.io/projects/unbiasedteacher.html
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Github: https://github.com/facebookresearch/unbiased-teacher
Paper: https://arxiv.org/abs/2102.09480
Project: https://ycliu93.github.io/projects/unbiasedteacher.html
@ai_machinelearning_big_data
🔥 Model Search by Google
Automatically build and deploy state-of-the-art machine learning models on structured data.
Github: https://github.com/google/model_search
Paper: https://pdfs.semanticscholar.org/1bca/d4cdfbc01fbb60a815660d034e561843d67a.pdf
Project: https://cloud.google.com/automl-tables
@ai_machinelearning_big_data
Automatically build and deploy state-of-the-art machine learning models on structured data.
Github: https://github.com/google/model_search
Paper: https://pdfs.semanticscholar.org/1bca/d4cdfbc01fbb60a815660d034e561843d67a.pdf
Project: https://cloud.google.com/automl-tables
@ai_machinelearning_big_data
🚀 DALL-E Zero-Shot Text-to-Image Generation
Github: https://github.com/openai/DALL-E
Paper: https://arxiv.org/abs/2102.12092
OpenAi: https://openai.com/blog/dall-e/
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Github: https://github.com/openai/DALL-E
Paper: https://arxiv.org/abs/2102.12092
OpenAi: https://openai.com/blog/dall-e/
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GitHub
GitHub - openai/DALL-E: PyTorch package for the discrete VAE used for DALL·E.
PyTorch package for the discrete VAE used for DALL·E. - openai/DALL-E
When Attention Meets Fast Recurrence: Training Language Models with Reduced Compute
Github: https://github.com/asappresearch/sru
Paper: https://arxiv.org/abs/2102.12459v1
Project: https://www.asapp.com/blog/reducing-the-high-cost-of-training-nlp-models-with-sru/
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Github: https://github.com/asappresearch/sru
Paper: https://arxiv.org/abs/2102.12459v1
Project: https://www.asapp.com/blog/reducing-the-high-cost-of-training-nlp-models-with-sru/
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GitHub
GitHub - asappresearch/sru: Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755)
Training RNNs as Fast as CNNs (https://arxiv.org/abs/1709.02755) - asappresearch/sru
XLA: Optimizing Compiler for Machine Learning
Tensorflow: https://www.tensorflow.org/xla
XLA Architecture: https://www.tensorflow.org/xla/architecture
Github: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla
Code: https://www.tensorflow.org/xla/tutorials/jit_compile
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Tensorflow: https://www.tensorflow.org/xla
XLA Architecture: https://www.tensorflow.org/xla/architecture
Github: https://github.com/tensorflow/tensorflow/tree/master/tensorflow/compiler/xla
Code: https://www.tensorflow.org/xla/tutorials/jit_compile
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⭐ CelebA-Spoof: Large-Scale Face Anti-Spoofing Dataset with Rich Annotations
Github: https://github.com/Davidzhangyuanhan/CelebA-Spoof
Paper: https://arxiv.org/abs/2102.12642v2
Dataset: https://drive.google.com/drive/folders/1OW_1bawO79pRqdVEVmBzp8HSxdSwln_Z
Video: https://www.youtube.com/watch?v=A7XjSg5srvI&t=4s&ab_channel=YuanhanZhang
@ai_machinelearning_big_data
Github: https://github.com/Davidzhangyuanhan/CelebA-Spoof
Paper: https://arxiv.org/abs/2102.12642v2
Dataset: https://drive.google.com/drive/folders/1OW_1bawO79pRqdVEVmBzp8HSxdSwln_Z
Video: https://www.youtube.com/watch?v=A7XjSg5srvI&t=4s&ab_channel=YuanhanZhang
@ai_machinelearning_big_data
🔥1
CogDL: An Extensive Research Toolkit for Deep Learning on Graphs
http://keg.cs.tsinghua.edu.cn/cogdl/
Github: https://github.com/THUDM/cogdl
Paper: https://arxiv.org/abs/2103.00959
Dateset: https://github.com/THUDM/cogdl/blob/master/cogdl/datasets/README.md
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http://keg.cs.tsinghua.edu.cn/cogdl/
Github: https://github.com/THUDM/cogdl
Paper: https://arxiv.org/abs/2103.00959
Dateset: https://github.com/THUDM/cogdl/blob/master/cogdl/datasets/README.md
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🤖 A Text-to-Speech Transformer in TensorFlow 2
Github: https://github.com/as-ideas/TransformerTTS
Paper: https://arxiv.org/abs/2103.00993v1
Samples: https://as-ideas.github.io/TransformerTTS/
@ai_machinelearning_big_data
Github: https://github.com/as-ideas/TransformerTTS
Paper: https://arxiv.org/abs/2103.00993v1
Samples: https://as-ideas.github.io/TransformerTTS/
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🧠 Multimodal Neurons in Artificial Neural Networks
https://openai.com/blog/multimodal-neurons/
Github: https://github.com/openai/CLIP-featurevis
Paper: https://distill.pub/2021/multimodal-neurons/
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https://openai.com/blog/multimodal-neurons/
Github: https://github.com/openai/CLIP-featurevis
Paper: https://distill.pub/2021/multimodal-neurons/
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Openai
Multimodal neurons in artificial neural networks
We’ve discovered neurons in CLIP that respond to the same concept whether presented literally, symbolically, or conceptually. This may explain CLIP’s accuracy in classifying surprising visual renditions of concepts, and is also an important step toward understanding…