Hey there! I'm a Machine Learning engineer who's always on the lookout for the newest and coolest things happening in the AI field. My passion lies in exploring the depths of computer vision, but recently I've been super curious about the possibilities of natural language processing and the fascinating world of generative adversarial networks. In my free time, I enjoy taking part in Kaggle competitions cause it's a fantastic way to keep my skills sharp and learn by solving challenging problems. I'm excited to see how AI will continue to evolve and be a part of that journey!
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Weakly-Supervised-ChestXray-AdaptiveDenseNet
Weakly-Supervised-ChestXray-AdaptiveDenseNet PublicForked from bbbbbbzhou/Weakly-Supervised-ChestXray-AdaptiveDenseNet
A Weakly Supervised Adaptive Densenet for Classifying Thoracic Diseases and Identifying Abnormalities (2019)
Python
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learnopencv
learnopencv PublicForked from spmallick/learnopencv
Learn OpenCV : C++ and Python Examples
Jupyter Notebook
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pretrained-models.pytorch
pretrained-models.pytorch PublicForked from Cadene/pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
Python 1
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CenterNet
CenterNet PublicForked from xingyizhou/CenterNet
Object detection, 3D detection, and pose estimation using center point detection:
Python
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PyTorch-GAN
PyTorch-GAN PublicForked from eriklindernoren/PyTorch-GAN
PyTorch implementations of Generative Adversarial Networks.
Python
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homemade-machine-learning
homemade-machine-learning PublicForked from trekhleb/homemade-machine-learning
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Jupyter Notebook
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