Self-Adaptive Training
Github: https://github.com/LayneH/self-adaptive-training
Paper: https://arxiv.org/abs/2101.08732v1
@ArtificialIntelligencedl
Github: https://github.com/LayneH/self-adaptive-training
Paper: https://arxiv.org/abs/2101.08732v1
@ArtificialIntelligencedl
The Ultimate Scikit-Learn Machine Learning Cheatsheet
https://www.kdnuggets.com/2021/01/ultimate-scikit-learn-machine-learning-cheatsheet.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/01/ultimate-scikit-learn-machine-learning-cheatsheet.html
@ArtificialIntelligencedl
Supervision by Registration and Triangulation for Landmark Detection
Github: https://github.com/D-X-Y/landmark-detection
Paper: https://arxiv.org/abs/2101.09866v1
@ArtificialIntelligencedl
Github: https://github.com/D-X-Y/landmark-detection
Paper: https://arxiv.org/abs/2101.09866v1
@ArtificialIntelligencedl
Summarising Historical Text in Modern Languages
Github: https://github.com/Pzoom522/HistSumm
Paper: https://arxiv.org/abs/2101.10759v2
@ArtificialIntelligencedl
Github: https://github.com/Pzoom522/HistSumm
Paper: https://arxiv.org/abs/2101.10759v2
@ArtificialIntelligencedl
Generalising via Meta-Examples for Continual Learning in the Wild
Github: https://github.com/alessiabertugli/FUSION
Article: https://arxiv.org/abs/2101.12081v1
@ArtificialIntelligencedl
Github: https://github.com/alessiabertugli/FUSION
Article: https://arxiv.org/abs/2101.12081v1
@ArtificialIntelligencedl
Playable Video Generation
Github: https://github.com/willi-menapace/PlayableVideoGeneration
Paper: https://arxiv.org/abs/2101.12195
@ArtificialIntelligencedl
Github: https://github.com/willi-menapace/PlayableVideoGeneration
Paper: https://arxiv.org/abs/2101.12195
@ArtificialIntelligencedl
Hands-on Guide to OpenAI’s CLIP – Connecting Text To Images
https://analyticsindiamag.com/hands-on-guide-to-openais-clip-connecting-text-to-images/
@ArtificialIntelligencedl
https://analyticsindiamag.com/hands-on-guide-to-openais-clip-connecting-text-to-images/
@ArtificialIntelligencedl
Saving and loading models in TensorFlow — why it is important and how to do it
https://www.kdnuggets.com/2021/02/saving-loading-models-tensorflow.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/02/saving-loading-models-tensorflow.html
@ArtificialIntelligencedl
KDnuggets
Saving and loading models in TensorFlow — why it is important and how to do it
So much time and effort can go into training your machine learning models. But, shut down the notebook or system, and all those trained weights and more vanish with the memory flush. Saving your models to maximize reusability is key for efficient productivity.
Spectral Leakage and Rethinking the Kernel Size in CNNs
Github: https://github.com/EvgenyKashin/non-leaking-conv
Paper: https://arxiv.org/abs/2101.10143
Notebook: https://github.com/EvgenyKashin/non-leaking-conv/blob/master/LearnedKernelsEDA.ipynb
@ArtificialIntelligencedl
Github: https://github.com/EvgenyKashin/non-leaking-conv
Paper: https://arxiv.org/abs/2101.10143
Notebook: https://github.com/EvgenyKashin/non-leaking-conv/blob/master/LearnedKernelsEDA.ipynb
@ArtificialIntelligencedl
Cleora: A Simple, Strong and Scalable Graph Embedding Scheme
Github: https://github.com/Synerise/cleora
Paper: https://arxiv.org/abs/2102.02302v1
@ArtificialIntelligencedl
Github: https://github.com/Synerise/cleora
Paper: https://arxiv.org/abs/2102.02302v1
@ArtificialIntelligencedl
Learning Monocular Depth in Dynamic Scenes via Instance-Aware Projection Consistency
Github: https://github.com/SeokjuLee/Insta-DM
Paper: https://arxiv.org/abs/2102.02629v1
@ArtificialIntelligencedl
Github: https://github.com/SeokjuLee/Insta-DM
Paper: https://arxiv.org/abs/2102.02629v1
@ArtificialIntelligencedl
GaitSet: Cross-view Gait Recognition through Utilizing Gait as a Deep Set
Github: https://github.com/AbnerHqC/GaitSet
Paper: https://arxiv.org/abs/2102.03247v1
@ArtificialIntelligencedl
Github: https://github.com/AbnerHqC/GaitSet
Paper: https://arxiv.org/abs/2102.03247v1
@ArtificialIntelligencedl
baller2vec: A Multi-Entity Transformer For Multi-Agent Spatiotemporal Modeling
Github: https://github.com/airalcorn2/baller2vec
Paper: https://arxiv.org/abs/2102.03291v1
@ArtificialIntelligencedl
Github: https://github.com/airalcorn2/baller2vec
Paper: https://arxiv.org/abs/2102.03291v1
@ArtificialIntelligencedl
How to Speed up Scikit-Learn Model Training
https://www.kdnuggets.com/2021/02/speed-up-scikit-learn-model-training.html
@ArtificialIntelligencedl
https://www.kdnuggets.com/2021/02/speed-up-scikit-learn-model-training.html
@ArtificialIntelligencedl
Building Image Segmentation Faster Using Jupyter Notebooks from NGC
https://developer.nvidia.com/blog/building-image-segmentation-faster-using-jupyter-notebooks-from-ngc/
@ArtificialIntelligencedl
https://developer.nvidia.com/blog/building-image-segmentation-faster-using-jupyter-notebooks-from-ngc/
@ArtificialIntelligencedl
Adversarial Segmentation Loss for Sketch Colorization
Github: https://github.com/giddyyupp/AdvSegLoss
Dataset: https://github.com/giddyyupp/AdvSegLoss/blob/master/docs/datasets.md
Paper: https://arxiv.org/abs/2102.06192v1
@ArtificialIntelligencedl
Github: https://github.com/giddyyupp/AdvSegLoss
Dataset: https://github.com/giddyyupp/AdvSegLoss/blob/master/docs/datasets.md
Paper: https://arxiv.org/abs/2102.06192v1
@ArtificialIntelligencedl
A new open data set for multilingual speech research
https://ai.facebook.com/blog/a-new-open-data-set-for-multilingual-speech-research/
Github: https://github.com/facebookresearch/wav2letter
Paper: https://arxiv.org/abs/2012.03411
@ArtificialIntelligencedl
https://ai.facebook.com/blog/a-new-open-data-set-for-multilingual-speech-research/
Github: https://github.com/facebookresearch/wav2letter
Paper: https://arxiv.org/abs/2012.03411
@ArtificialIntelligencedl
💨 GraphGallery: A Platform for Fast Benchmarking and Easy Development of Graph Neural Networks Based Intelligent Software
Github: https://github.com/EdisonLeeeee/GraphGallery
Paper: https://arxiv.org/abs/2102.07933v1
@ArtificialIntelligencedl
Github: https://github.com/EdisonLeeeee/GraphGallery
Paper: https://arxiv.org/abs/2102.07933v1
@ArtificialIntelligencedl
Free AI and ML Courses by Google, Microsoft, & Stanford University
https://www.theinsaneapp.com/2020/08/free-artificial-intelligence-and-machine-learning-courses.html
@ArtificialIntelligencedl
https://www.theinsaneapp.com/2020/08/free-artificial-intelligence-and-machine-learning-courses.html
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