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/
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
@ai_machinelearning_big_data
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
@ai_machinelearning_big_data
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
@ai_machinelearning_big_data
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.
Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
https://ai.googleblog.com/2020/01/google-research-looking-back-at-2019.html
https://ai.googleblog.com/2020/01/google-research-looking-back-at-2019.html
research.google
Google Research: Looking Back at 2019, and Forward to 2020 and Beyond
Posted by Jeff Dean, Senior Fellow and SVP of Google Research and Health, on behalf of the entire Google Research community The goal of Google Re...
Non-local Neural Networks
Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN
https://github.com/facebookresearch/detectron
Non-local Neural Networks for Video Classification:https://github.com/facebookresearch/video-nonlocal-net
Paper: https://arxiv.org/abs/1711.07971v3
PySlowFast
https://github.com/facebookresearch/SlowFast
Detectron is Facebook AI Research's software system that implements state-of-the-art object detection algorithms, including Mask R-CNN
https://github.com/facebookresearch/detectron
Non-local Neural Networks for Video Classification:https://github.com/facebookresearch/video-nonlocal-net
Paper: https://arxiv.org/abs/1711.07971v3
PySlowFast
https://github.com/facebookresearch/SlowFast
A Gentle Introduction to Probability Metrics for Imbalanced Classification
https://machinelearningmastery.com/probability-metrics-for-imbalanced-classification/
https://machinelearningmastery.com/probability-metrics-for-imbalanced-classification/
MachineLearningMastery.com
A Gentle Introduction to Probability Metrics for Imbalanced Classification - MachineLearningMastery.com
Classification predictive modeling involves predicting a class label for examples, although some problems require the prediction of a probability of class membership. For these problems, the crisp class labels are not required, and instead, the likelihood…
👨🦱 DeeperForensics-1.0: A Large-Scale Dataset for Real-World Face Forgery Detection
Code: https://github.com/EndlessSora/DeeperForensics-1.0
Paper: https://arxiv.org/abs/2001.03024v1
Code: https://github.com/EndlessSora/DeeperForensics-1.0
Paper: https://arxiv.org/abs/2001.03024v1