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Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow
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A toy example of sequence to sequence (seq2seq) model with pytorch.
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Forked from krocki/dnc
Simple RNN, LSTM and Differentiable Neural Computer in pure Numpy
101 contributions in the last year
Contribution activity
December 2019
- BenJamesbabala/Python-Program Python
- BenJamesbabala/Scanner-1 Java
- BenJamesbabala/Few-Shot-Semantic-Segmentation-Papers
- BenJamesbabala/seeprettyface-generator-wanghong Python
- BenJamesbabala/GPT2-chitchat Python
- BenJamesbabala/awesome-image-denoising-state-of-the-art
- BenJamesbabala/ALBERT Python
- BenJamesbabala/IVD-Net Python
- BenJamesbabala/DSMNet Cuda
- BenJamesbabala/PyTorch_Gaussian_YOLOv3 Jupyter Notebook
- BenJamesbabala/difftaichi
- BenJamesbabala/SegAN Python
- BenJamesbabala/person_search_demo Python
- BenJamesbabala/MetaLearningPapers
- BenJamesbabala/pytorch_tricks
- BenJamesbabala/splitnet Python
- BenJamesbabala/yolov3-channel-and-layer-pruning Python
- BenJamesbabala/ghost-free-shadow-removal Jupyter Notebook
- BenJamesbabala/captcha_crack C
- BenJamesbabala/Tutorials-2 Jupyter Notebook
- BenJamesbabala/ASFF Python