Collaborative Multi-Agent Dialogue Model Training Via Reinforcement Learning
https://eng.uber.com/research/collaborative-multi-agent-dialogue-model-training-via-reinforcement-learning/
article: https://arxiv.org/pdf/1907.05507.pdf
https://eng.uber.com/research/collaborative-multi-agent-dialogue-model-training-via-reinforcement-learning/
article: https://arxiv.org/pdf/1907.05507.pdf
Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech
http://ai.googleblog.com/2019/08/project-euphonias-personalized-speech.html
http://ai.googleblog.com/2019/08/project-euphonias-personalized-speech.html
blog.research.google
Project Euphonia’s Personalized Speech Recognition for Non-Standard Speech
How to Implement Progressive Growing GAN Models in Keras
https://machinelearningmastery.com/how-to-implement-progressive-growing-gan-models-in-keras/
https://machinelearningmastery.com/how-to-implement-progressive-growing-gan-models-in-keras/
VisualBERT: A Simple and Performant Baseline for Vision and Language
https://arxiv.org/abs/1908.03557
https://arxiv.org/abs/1908.03557
arXiv.org
VisualBERT: A Simple and Performant Baseline for Vision and Language
We propose VisualBERT, a simple and flexible framework for modeling a broad range of vision-and-language tasks. VisualBERT consists of a stack of Transformer layers that implicitly align elements...
New advances in natural language processing to better connect people
https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people
https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people
Facebook
New advances in natural language processing to better connect people
Recently, Facebook AI has advanced state-of-the-art results in key language understanding tasks and also launched a new benchmark to push AI systems further
How vFlat used the TFLite GPU delegate for real time inference to scan books
https://medium.com/tensorflow/how-vflat-used-the-tflite-gpu-delegate-for-real-time-inference-to-scan-books-df3bb86a4eb7
https://medium.com/tensorflow/how-vflat-used-the-tflite-gpu-delegate-for-real-time-inference-to-scan-books-df3bb86a4eb7
Medium
How vFlat used the TFLite GPU delegate for real time inference to scan books
A guest post by Kunwoo Park, Moogung Kim, Eunsung Han
Awesome Machine Learning
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
A curated list of awesome machine learning frameworks, libraries and software (by language).
libraries: https://github.com/josephmisiti/awesome-machine-learning
books: https://github.com/josephmisiti/awesome-machine-learning/blob/master/books.md
GitHub
GitHub - josephmisiti/awesome-machine-learning: A curated list of awesome Machine Learning frameworks, libraries and software.
A curated list of awesome Machine Learning frameworks, libraries and software. - josephmisiti/awesome-machine-learning
Synthetic Celebrity Faces at 128x128 Resolution After Tuning Generated by the Progressive Growing GAN
How to Train a Progressive Growing GAN in Keras for Synthesizing Faces
https://machinelearningmastery.com/how-to-train-a-progressive-growing-gan-in-keras-for-synthesizing-faces/
How to Train a Progressive Growing GAN in Keras for Synthesizing Faces
https://machinelearningmastery.com/how-to-train-a-progressive-growing-gan-in-keras-for-synthesizing-faces/
Joint Speech Recognition and Speaker Diarization via Sequence Transduction
http://ai.googleblog.com/2019/08/joint-speech-recognition-and-speaker.html
http://ai.googleblog.com/2019/08/joint-speech-recognition-and-speaker.html
Googleblog
Joint Speech Recognition and Speaker Diarization via Sequence Transduction
Forwarded from Artificial Intelligence
ai ,machine learning
• 1146 leaderboards
• 1223 tasks
• 1105 datasets
• 14779 papers with code
https://paperswithcode.com/sota
• 1146 leaderboards
• 1223 tasks
• 1105 datasets
• 14779 papers with code
https://paperswithcode.com/sota
huggingface.co
Trending Papers - Hugging Face
Your daily dose of AI research from AK
Music Transformer: Generating Music with Long-Term Structure
Code: https://github.com/jason9693/MusicTransformer-tensorflow2.0
Article: https://arxiv.org/abs/1809.04281
Code: https://github.com/jason9693/MusicTransformer-tensorflow2.0
Article: https://arxiv.org/abs/1809.04281
GitHub
GitHub - jason9693/MusicTransformer-tensorflow2.0: implementation of music transformer with tensorflow-2.0 (ICLR2019)
implementation of music transformer with tensorflow-2.0 (ICLR2019) - jason9693/MusicTransformer-tensorflow2.0
👍1
Using The Super-Resolution Convolutional Neural Network for Image Restoration
https://medium.com/datadriveninvestor/using-the-super-resolution-convolutional-neural-network-for-image-restoration-ff1e8420d846
https://medium.com/datadriveninvestor/using-the-super-resolution-convolutional-neural-network-for-image-restoration-ff1e8420d846
Medium
Using The Super Resolution Convolutional Neural Network for Image Restoration
Welcome to this tutorial on single-image super-resolution. The goal of super-resolution (SR) is to recover a high resolution image from a…
A Gentle Introduction to StyleGAN the Style Generative Adversarial Network
https://machinelearningmastery.com/introduction-to-style-generative-adversarial-network-stylegan/
https://machinelearningmastery.com/introduction-to-style-generative-adversarial-network-stylegan/
On-Device, Real-Time Hand Tracking with MediaPipe
http://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.html
http://ai.googleblog.com/2019/08/on-device-real-time-hand-tracking-with.html
research.google
On-Device, Real-Time Hand Tracking with MediaPipe
Posted by Valentin Bazarevsky and Fan Zhang, Research Engineers, Google Research The ability to perceive the shape and motion of hands can be a v...
🔥New models in 17 and 100 languages XLM/mBERT pytorch
LM supports multi-GPU and multi-node training
https://github.com/facebookresearch/XLM#pretrained-cross-lingual-language-models
LM supports multi-GPU and multi-node training
https://github.com/facebookresearch/XLM#pretrained-cross-lingual-language-models
GitHub
GitHub - facebookresearch/XLM: PyTorch original implementation of Cross-lingual Language Model Pretraining.
PyTorch original implementation of Cross-lingual Language Model Pretraining. - facebookresearch/XLM
Turbo, An Improved Rainbow Colormap for Visualization
http://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html
http://ai.googleblog.com/2019/08/turbo-improved-rainbow-colormap-for.html
research.google
Turbo, An Improved Rainbow Colormap for Visualization
Posted by Anton Mikhailov, Senior Software Engineer, Daydream False color maps show up in many applications in computer vision and machine learni...
Ludwig is a toolbox built on top of TensorFlow that allows to train and test deep learning models without the need to write code.
https://github.com/uber/ludwig
https://github.com/uber/ludwig
GitHub
GitHub - ludwig-ai/ludwig: Low-code framework for building custom LLMs, neural networks, and other AI models
Low-code framework for building custom LLMs, neural networks, and other AI models - ludwig-ai/ludwig
Data Visualization Curriculum
A data visualization curriculum of interactive notebooks, using Vega-Lite and Altair.
https://github.com/uwdata/visualization-curriculum
A data visualization curriculum of interactive notebooks, using Vega-Lite and Altair.
https://github.com/uwdata/visualization-curriculum
GitHub
GitHub - uwdata/visualization-curriculum: A data visualization curriculum of interactive notebooks.
A data visualization curriculum of interactive notebooks. - uwdata/visualization-curriculum
Deep Learning Illustrated: Building Natural Language Processing Models
https://blog.dominodatalab.com/deep-learning-illustrated-building-natural-language-processing-models/
https://blog.dominodatalab.com/deep-learning-illustrated-building-natural-language-processing-models/
domino.ai
Building Natural Language Processing Models with Keras
Deep Learning Illustrated: Building Natural Language Processing Models