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iPerceiveApplying Common-Sense Reasoning to Multi-Modal Dense Video Captioning and Video Question Answering | Python3 | PyTorch | CNNs | Causality | Reasoning | LSTMs | Transformers | Multi-Head Self Attention | Published in IEEE Winter Conference on Applications of Computer Vision (WACV) 2021
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Image Caption GeneratorA neural network to generate captions for an image using CNN and RNN with BEAM Search.
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Datastories Semeval2017 Task4Deep-learning model presented in "DataStories at SemEval-2017 Task 4: Deep LSTM with Attention for Message-level and Topic-based Sentiment Analysis".
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Numpy MlMachine learning, in numpy
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Speech TransformerA PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.
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Deep Learning Time SeriesList of papers, code and experiments using deep learning for time series forecasting
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Video ClassificationTutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
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Cell DetrOfficial and maintained implementation of the paper Attention-Based Transformers for Instance Segmentation of Cells in Microstructures [BIBM 2020].
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Seq2seq ChatbotChatbot in 200 lines of code using TensorLayer
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Qa使用深度学习算法实现的中文问答系统
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