Using a Convolutional Neural Network to Play Conway's Game of Life with Keras
https://kylewbanks.com/blog/conways-game-of-life-convolutional-neural-network-keras
GIthub: https://github.com/KyleBanks/conways-gol-cnn
Habr: https://habr.com/ru/post/481544/
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https://kylewbanks.com/blog/conways-game-of-life-convolutional-neural-network-keras
GIthub: https://github.com/KyleBanks/conways-gol-cnn
Habr: https://habr.com/ru/post/481544/
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Kyle Banks
Using a Convolutional Neural Network to Play Conway's Game of Life with Keras
The goal of this post is to train a convolutional neural network to properly play Conway’s Game of Life without explicitly teaching it the rules of the game.
Horovod is a distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet
https://github.com/horovod/horovod
https://lfai.foundation/press-release/2018/12/13/lf-deep-learning-welcomes-horovod-distributed-training-framework-as-newest-project/
https://github.com/horovod/horovod
https://lfai.foundation/press-release/2018/12/13/lf-deep-learning-welcomes-horovod-distributed-training-framework-as-newest-project/
GitHub
GitHub - horovod/horovod: Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet. - horovod/horovod
RepPoints: Point Set Representation for Object Detection
Github: https://github.com/microsoft/RepPoints
Article: https://arxiv.org/abs/1904.11490
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Github: https://github.com/microsoft/RepPoints
Article: https://arxiv.org/abs/1904.11490
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GitHub
GitHub - microsoft/RepPoints: Represent Visual Objects by Point Sets
Represent Visual Objects by Point Sets. Contribute to microsoft/RepPoints development by creating an account on GitHub.
HSE Faculty of Computer Science and Yandex launch registration for the 3rd International Data Analysis Olympiad (IDAO 2020)
⚡️The platinum partner of IDAO 2020 is QIWI Russia
The Olympiad includes 2 parts:
📍Online Stage, 15 January – 11 February2020
📍Offline stage (Final), which will be held on 2–5 April in Yandex office, Moscow.
🌟We are calling for the world’s best teams!
Winners and prize-holders of IDAO 2020 will receive valuable prizes and gifts.
Learn more: https://idao.world/
⚡️The platinum partner of IDAO 2020 is QIWI Russia
The Olympiad includes 2 parts:
📍Online Stage, 15 January – 11 February2020
📍Offline stage (Final), which will be held on 2–5 April in Yandex office, Moscow.
🌟We are calling for the world’s best teams!
Winners and prize-holders of IDAO 2020 will receive valuable prizes and gifts.
Learn more: https://idao.world/
Develop an Intuition for Severely Skewed Class Distributions
https://machinelearningmastery.com/how-to-develop-an-intuition-skewed-class-distributions/
https://machinelearningmastery.com/how-to-develop-an-intuition-skewed-class-distributions/
MachineLearningMastery.com
Develop an Intuition for Severely Skewed Class Distributions - MachineLearningMastery.com
An imbalanced classification problem is a problem that involves predicting a class label where the distribution of class labels in the training dataset is not equal. A challenge for beginners working with imbalanced classification problems is what a specific…
WELCOME TO THE DALI DATASET: a large Dataset of synchronised Audio, LyrIcs and vocal notes.
https://github.com/gabolsgabs/DALI
Paper: https://ismir2018.ircam.fr/doc/pdfs/35_Paper.pdf
Learning Singing From Speech
https://arxiv.org/abs/1912.10128v1
https://github.com/gabolsgabs/DALI
Paper: https://ismir2018.ircam.fr/doc/pdfs/35_Paper.pdf
Learning Singing From Speech
https://arxiv.org/abs/1912.10128v1
GitHub
GitHub - gabolsgabs/DALI: DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes.
DALI: a large Dataset of synchronised Audio, LyrIcs and vocal notes. - gabolsgabs/DALI
✏️ Multi-Graph Transformer for Free-Hand Sketch Recognition
https://github.com/PengBoXiangShang/multigraph_transformer
Paper: https://arxiv.org/abs/1912.11258v1
https://github.com/PengBoXiangShang/multigraph_transformer
Paper: https://arxiv.org/abs/1912.11258v1
GitHub
GitHub - PengBoXiangShang/multigraph_transformer: IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification…
IEEE TNNLS 2021, transformer, multi-graph transformer, graph, graph classification, sketch recognition, sketch classification, free-hand sketch, official code of the paper "Multi-Graph Tr...
🍌 BANANAS: Bayesian Optimization with Neural Architectures for Neural Architecture Search
article: https://arxiv.org/abs/1910.11858
code: https://github.com/naszilla/bananas
medium: https://medium.com/reality-engines/bananas-a-new-method-for-neural-architecture-search-192d21959c0c
article: https://arxiv.org/abs/1910.11858
code: https://github.com/naszilla/bananas
medium: https://medium.com/reality-engines/bananas-a-new-method-for-neural-architecture-search-192d21959c0c
GitHub
GitHub - naszilla/bananas: Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858
Bayesian Optimization with Neural Architectures for Neural Architecture Search - https://arxiv.org/abs/1910.11858 - naszilla/bananas
Audio processing by using pytorch 1D convolution network
https://github.com/KinWaiCheuk/nnAudio
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
https://arxiv.org/abs/1912.12055v1
https://github.com/KinWaiCheuk/nnAudio
nnAudio: An on-the-fly GPU Audio to Spectrogram Conversion Toolbox Using 1D Convolution Neural Networks
https://arxiv.org/abs/1912.12055v1
GitHub
GitHub - KinWaiCheuk/nnAudio: Audio processing by using pytorch 1D convolution network
Audio processing by using pytorch 1D convolution network - KinWaiCheuk/nnAudio
Integration of Static and Dynamic Analysis for Malware Family Classification with Composite Neural Network
code: https://github.com/guelfoweb/peframe
Paper: https://arxiv.org/abs/1912.11249v1
code: https://github.com/guelfoweb/peframe
Paper: https://arxiv.org/abs/1912.11249v1
GitHub
GitHub - guelfoweb/peframe: PEframe is a open source tool to perform static analysis on Portable Executable malware and malicious…
PEframe is a open source tool to perform static analysis on Portable Executable malware and malicious MS Office documents. - guelfoweb/peframe
Recurrent Independent Mechanisms
Code: https://github.com/maximecb/gym-minigrid
Paper: https://openreview.net/forum?id=BylaUTNtPS
Code: https://github.com/maximecb/gym-minigrid
Paper: https://openreview.net/forum?id=BylaUTNtPS
GitHub
GitHub - Farama-Foundation/Minigrid: Simple and easily configurable grid world environments for reinforcement learning
Simple and easily configurable grid world environments for reinforcement learning - Farama-Foundation/Minigrid
How to Calculate Precision, Recall, and F-Measure for Imbalanced Classification
https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/
https://machinelearningmastery.com/precision-recall-and-f-measure-for-imbalanced-classification/
MachineLearningMastery.com
How to Calculate Precision, Recall, and F-Measure for Imbalanced Classification - MachineLearningMastery.com
Classification accuracy is the total number of correct predictions divided by the total number of predictions made for a dataset. As a performance measure, accuracy is inappropriate for imbalanced classification problems. The main reason is that the overwhelming…
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs from Wikipedia
https://openreview.net/forum?id=rkeYL1SFvH
LASER Language-Agnostic SEntence Representations
https://github.com/facebookresearch/LASER
https://openreview.net/forum?id=rkeYL1SFvH
LASER Language-Agnostic SEntence Representations
https://github.com/facebookresearch/LASER
OpenReview
WikiMatrix: Mining 135M Parallel Sentences in 1620 Language Pairs...
Large-scale bitext extraction from Wikipedia: 1620 language pairs in 85 languages, 135M parallel sentences, Systematic NMT evaluation on TED test set.
NAS-Bench-102 and 11 neural architecture search algorithms implemented in PyTorch.
https://github.com/D-X-Y/NAS-Projects
Paper: https://arxiv.org/abs/2001.00326v1
A curated list of neural architecture search and related resources:
https://github.com/D-X-Y/Awesome-NAS
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https://github.com/D-X-Y/NAS-Projects
Paper: https://arxiv.org/abs/2001.00326v1
A curated list of neural architecture search and related resources:
https://github.com/D-X-Y/Awesome-NAS
@ai_machinelearning_big_data
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Restricting the Flow: Information Bottlenecks for Attribution
https://arxiv.org/abs/2001.00396v1
Code: https://github.com/attribution-bottleneck/attribution-bottleneck-pytorch
https://arxiv.org/abs/2001.00396v1
Code: https://github.com/attribution-bottleneck/attribution-bottleneck-pytorch
Differentiable Architecture Search
https://github.com/quark0/darts
RobustDARTS: https://github.com/MetaAnonym/RobustDARTS
Paper : https://openreview.net/forum?id=H1gDNyrKDS
https://github.com/quark0/darts
RobustDARTS: https://github.com/MetaAnonym/RobustDARTS
Paper : https://openreview.net/forum?id=H1gDNyrKDS
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Pytorch implementation for few-shot photorealistic video-to-video translation.
https://github.com/NVlabs/few-shot-vid2vid
Few-shot Video-to-Video Synthesis
https://nvlabs.github.io/few-shot-vid2vid/
Paper : https://arxiv.org/abs/1910.12713
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https://github.com/NVlabs/few-shot-vid2vid
Few-shot Video-to-Video Synthesis
https://nvlabs.github.io/few-shot-vid2vid/
Paper : https://arxiv.org/abs/1910.12713
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Ecovacs Robotics: the AI robotic vacuum cleaner powered by TensorFlow
https://blog.tensorflow.org/2020/01/ecovacs-robotics-ai-robotic-vacuum.html
https://blog.tensorflow.org/2020/01/ecovacs-robotics-ai-robotic-vacuum.html
blog.tensorflow.org
Ecovacs Robotics: the AI robotic vacuum cleaner powered by TensorFlow
The TensorFlow blog contains regular news from the TensorFlow team and the community, with articles on Python, TensorFlow.js, TF Lite, TFX, and more.
MuZero: DeepMind’s New AI Mastered More Than 50 Games
https://www.youtube.com/watch?v=hYV4-m7_SK8
Paper: https://arxiv.org/abs/1911.08265
Github: https://github.com/johan-gras/MuZer
Example: https://github.com/YuriCat/MuZeroJupyterExample
A simple implementation of MuZero algorithm for connect4 game
https://github.com/Zeta36/muzero
https://www.youtube.com/watch?v=hYV4-m7_SK8
Paper: https://arxiv.org/abs/1911.08265
Github: https://github.com/johan-gras/MuZer
Example: https://github.com/YuriCat/MuZeroJupyterExample
A simple implementation of MuZero algorithm for connect4 game
https://github.com/Zeta36/muzero
YouTube
MuZero: DeepMind’s New AI Mastered More Than 50 Games
❤️ Check out Linode here and get $20 free credit on your account: https://www.linode.com/papers
📝 The paper "Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model" is available here:
https://arxiv.org/abs/1911.08265
🙏 We would like to thank…
📝 The paper "Mastering Atari, Go, Chess and Shogi by Planning with a Learned Model" is available here:
https://arxiv.org/abs/1911.08265
🙏 We would like to thank…
From Open Set to Closed Set: Supervised Spatial Divide-and-Conquer for Object Counting
https://github.com/xhp-hust-2018-2011/S-DCNet
https://github.com/xhp-hust-2018-2011/SS-DCNet
Paper https://arxiv.org/abs/2001.01886v1
https://github.com/xhp-hust-2018-2011/S-DCNet
https://github.com/xhp-hust-2018-2011/SS-DCNet
Paper https://arxiv.org/abs/2001.01886v1
GitHub
GitHub - xhp-hust-2018-2011/S-DCNet: Implementaion of S-DCNet (ICCV 2019)
Implementaion of S-DCNet (ICCV 2019). Contribute to xhp-hust-2018-2011/S-DCNet development by creating an account on GitHub.