Graph Transformer Architecture
Github: https://github.com/graphdeeplearning/graphtransformer
Paper: https://arxiv.org/abs/2012.09699
@ArtificialIntelligencedl
Github: https://github.com/graphdeeplearning/graphtransformer
Paper: https://arxiv.org/abs/2012.09699
@ArtificialIntelligencedl
Efficient CNN-LSTM based Image Captioning using Neural Network Compression
Github: https://github.com/amanmohanty/idl-nncompress
Paper: https://arxiv.org/pdf/2012.09708.pdf
@ArtificialIntelligencedl
Github: https://github.com/amanmohanty/idl-nncompress
Paper: https://arxiv.org/pdf/2012.09708.pdf
@ArtificialIntelligencedl
Deep Learning & Art: Neural Style Transfer
https://datascience-enthusiast.com/DL/Art_Generation_with_Neural_Style_Transfer_v2.html
@ArtificialIntelligencedl
https://datascience-enthusiast.com/DL/Art_Generation_with_Neural_Style_Transfer_v2.html
@ArtificialIntelligencedl
Domain specific BERT representation for Named Entity Recognition of lab protocol
Github: https://github.com/tejasvaidhyadev/NER_Lab_Protocols
Website: https://noisy-text.github.io/2020/wlp-task.html
Paper: https://arxiv.org/pdf/2012.11145.pdf
@ArtificialIntelligencedl
Github: https://github.com/tejasvaidhyadev/NER_Lab_Protocols
Website: https://noisy-text.github.io/2020/wlp-task.html
Paper: https://arxiv.org/pdf/2012.11145.pdf
@ArtificialIntelligencedl
RECCON: Recognizing Emotion Cause in CONversations
Github: https://github.com/declare-lab/RECCON
Paper: https://arxiv.org/pdf/2012.11820.pdf
@ArtificialIntelligencedl
Github: https://github.com/declare-lab/RECCON
Paper: https://arxiv.org/pdf/2012.11820.pdf
@ArtificialIntelligencedl
SWA Object Detection
Github: https://github.com/hyz-xmaster/swa_object_detection
Paper: https://arxiv.org/abs/2012.12645
@ArtificialIntelligencedl
Github: https://github.com/hyz-xmaster/swa_object_detection
Paper: https://arxiv.org/abs/2012.12645
@ArtificialIntelligencedl
Effective Deployment of CNNs for 3DoF Pose Estimation and Grasping in Industrial Settings
Github: https://github.com/m4nh/loop
Video: https://www.youtube.com/watch?v=njLINQIA9iI
Paper: https://arxiv.org/abs/2012.13210v1
@ArtificialIntelligencedl
Github: https://github.com/m4nh/loop
Video: https://www.youtube.com/watch?v=njLINQIA9iI
Paper: https://arxiv.org/abs/2012.13210v1
@ArtificialIntelligencedl
👍1
MuZero General: Open Reimplementation of MuZero
GitHub: https://github.com/werner-duvaud/muzero-general
Paper: https://arxiv.org/abs/1911.08265
@ArtificialIntelligencedl
GitHub: https://github.com/werner-duvaud/muzero-general
Paper: https://arxiv.org/abs/1911.08265
@ArtificialIntelligencedl
Histogram-Based Gradient Boosting Ensembles in Python
https://machinelearningmastery.com/histogram-based-gradient-boosting-ensembles/
@ArtificialIntelligencedl
https://machinelearningmastery.com/histogram-based-gradient-boosting-ensembles/
@ArtificialIntelligencedl
Attention-Based Adaptive Spectral-Spatial Kernel ResNet for Hyperspectral Image Classification
Github: https://github.com/suvojit-0x55aa/A2S2K-ResNet
Paper: https://ieeexplore.ieee.org/document/9306920
@ArtificialIntelligencedl
Github: https://github.com/suvojit-0x55aa/A2S2K-ResNet
Paper: https://ieeexplore.ieee.org/document/9306920
@ArtificialIntelligencedl
Generating Beautiful Neural Network Visualizations
https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2020/12/generating-beautiful-neural-network-visualizations.html
@ArtificialIntelligencedl
Towards Faster and Stabilized GAN Training for High-fidelity Few-shot Image Synthesis.
Github: https://github.com/lucidrains/lightweight-gan
Paper: https://openreview.net/forum?id=1Fqg133qRaI
@ArtificialIntelligencedl
Github: https://github.com/lucidrains/lightweight-gan
Paper: https://openreview.net/forum?id=1Fqg133qRaI
@ArtificialIntelligencedl
Factor Normalization for Deep Neural Network Models
Github: https://github.com/HazardNeo4869/FactorNormalization
Paper: https://openreview.net/forum?id=LcPefbNSwx_
@ArtificialIntelligencedl
Github: https://github.com/HazardNeo4869/FactorNormalization
Paper: https://openreview.net/forum?id=LcPefbNSwx_
@ArtificialIntelligencedl
180 Data Science and Machine Learning Projects with Python
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
@ArtificialIntelligencedl
https://medium.com/coders-camp/180-data-science-and-machine-learning-projects-with-python-6191bc7b9db9
@ArtificialIntelligencedl
TransTrack: Multiple-Object Tracking with Transformer
Github: https://github.com/PeizeSun/TransTrack
Paper: https://arxiv.org/abs/2012.15460v1
@ArtificialIntelligencedl
Github: https://github.com/PeizeSun/TransTrack
Paper: https://arxiv.org/abs/2012.15460v1
@ArtificialIntelligencedl
All Machine Learning Algorithms You Should Know in 2021
https://www.kdnuggets.com/2021/01/machine-learning-algorithms-2021.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/01/machine-learning-algorithms-2021.html
@ArtificialIntelligencedl
CRSLab
is an open-source toolkit for building Conversational Recommender System (CRS)
Github: https://github.com/RUCAIBox/CRSLab
Paper: https://arxiv.org/pdf/2101.00939.pdf
Documentation: https://crslab.readthedocs.io/en/latest/?badge=latest
@ArtificialIntelligencedl
is an open-source toolkit for building Conversational Recommender System (CRS)
Github: https://github.com/RUCAIBox/CRSLab
Paper: https://arxiv.org/pdf/2101.00939.pdf
Documentation: https://crslab.readthedocs.io/en/latest/?badge=latest
@ArtificialIntelligencedl
Forwarded from Машинное обучение RU
Разработка и развёртывание приложения машинного обучения: полное руководство
Читать
@machinelearning_ru
Читать
@machinelearning_ru
WildDeepfake: A Challenging Real-World Dataset for Deepfake Detection
GIthub: https://github.com/deepfakeinthewild/deepfake-in-the-wild
Paper: https://arxiv.org/abs/2101.01902v1
Dataset: https://docs.google.com/forms/d/e/1FAIpQLSfN-CrnxDz_Furv0KzcNdO_Nzf_3Gpy4s-P4qRjKBJuD2CaEA/viewform
@ArtificialIntelligencedl
GIthub: https://github.com/deepfakeinthewild/deepfake-in-the-wild
Paper: https://arxiv.org/abs/2101.01902v1
Dataset: https://docs.google.com/forms/d/e/1FAIpQLSfN-CrnxDz_Furv0KzcNdO_Nzf_3Gpy4s-P4qRjKBJuD2CaEA/viewform
@ArtificialIntelligencedl