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Image CaptioningImage Captioning using InceptionV3 and beam search
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KomputationKomputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.
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Linear Attention Recurrent Neural NetworkA recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN. (LARNN)
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All Classifiers 2019A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.
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Pytorch Kaldipytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.
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Traffic Sign DetectionTraffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".
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ZhihuThis repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.
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DeepseqslamThe Official Deep Learning Framework for Route-based Place Recognition
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RecommendersBest Practices on Recommendation Systems
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Antialiased Cnnspip install antialiased-cnns to improve stability and accuracy
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Deep GenerationI used in this project a reccurent neural network to generate c code based on a dataset of c files from the linux repository.
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