SightseqComputer vision tools for fairseq, containing PyTorch implementation of text recognition and object detection
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stylenetA pytorch implemention of "StyleNet: Generating Attractive Visual Captions with Styles"
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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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External-Attention-pytorch🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
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RecycleNetAttentional Learning of Trash Classification
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DeepMoveCodes for WWW'18 Paper-DeepMove: Predicting Human Mobility with Attentional Recurrent Network
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LaBERTA length-controllable and non-autoregressive image captioning model.
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CS231nCS231n Assignments Solutions - Spring 2020
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h-transformer-1dImplementation of H-Transformer-1D, Hierarchical Attention for Sequence Learning
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gnn-lspeSource code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022
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AttnSleep[IEEE TNSRE] "An Attention-based Deep Learning Approach for Sleep Stage Classification with Single-Channel EEG"
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gramtionTwitter bot for generating photo descriptions (alt text)
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UdacityThis repo includes all the projects I have finished in the Udacity Nanodegree programs
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jeelizGlanceTrackerJavaScript/WebGL lib: detect if the user is looking at the screen or not from the webcam video feed. Lightweight and robust to all lighting conditions. Great for play/pause videos if the user is looking or not, or for person detection. Link to live demo.
Stars: ✭ 68 (+13.33%)
catrImage Captioning Using Transformer
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lambda.pytorchPyTorch implementation of Lambda Network and pretrained Lambda-ResNet
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reasoning attentionUnofficial implementation algorithms of attention models on SNLI dataset
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bert attn vizVisualize BERT's self-attention layers on text classification tasks
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LNSwipeCell一套友好的、方便集成的针对cell的左滑编辑功能!
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chatbot一个基于深度学习的中文聊天机器人,这里有详细的教程与代码,每份代码都有详细的注释,作为学习是美好的选择。A Chinese chatbot based on deep learning.
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EBIM-NLIEnhanced BiLSTM Inference Model for Natural Language Inference
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BUTD modelA pytorch implementation of "Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering" for image captioning.
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MIACode for "Aligning Visual Regions and Textual Concepts for Semantic-Grounded Image Representations" (NeurIPS 2019)
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TRAR-VQA[ICCV 2021] TRAR: Routing the Attention Spans in Transformers for Visual Question Answering -- Official Implementation
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datastories-semeval2017-task6Deep-learning model presented in "DataStories at SemEval-2017 Task 6: Siamese LSTM with Attention for Humorous Text Comparison".
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ttconvSubtitle conversion. Converts STL, SRT, TTML and SCC into TTML, WebVTT and SRT.
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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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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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LFattNetAttention-based View Selection Networks for Light-field Disparity Estimation
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DeepLearningReadingDeep Learning and Machine Learning mini-projects. Current Project: Deepmind Attentive Reader (rc-data)
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Show and TellShow and Tell : A Neural Image Caption Generator
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visualizationa collection of visualization function
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flow1d[ICCV 2021 Oral] High-Resolution Optical Flow from 1D Attention and Correlation
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natural-language-joint-query-searchSearch photos on Unsplash based on OpenAI's CLIP model, support search with joint image+text queries and attention visualization.
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staginSTAGIN: Spatio-Temporal Attention Graph Isomorphism Network
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AiROfficial Repository for ECCV 2020 paper "AiR: Attention with Reasoning Capability"
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tensorflow-chatbot-chinese網頁聊天機器人 | tensorflow implementation of seq2seq model with bahdanau attention and Word2Vec pretrained embedding
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CrabNetPredict materials properties using only the composition information!
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Im2LaTeXAn implementation of the Show, Attend and Tell paper in Tensorflow, for the OpenAI Im2LaTeX suggested problem
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attention-ocrA pytorch implementation of the attention based ocr
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Image-CaptioiningThe objective is to process by generating textual description from an image – based on the objects and actions in the image. Using generative models so that it creates novel sentences. Pipeline type models uses two separate learning process, one for language modelling and other for image recognition. It first identifies objects in image and prov…
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how attentive are gatsCode for the paper "How Attentive are Graph Attention Networks?" (ICLR'2022)
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dreyeve[TPAMI 2018] Predicting the Driver’s Focus of Attention: the DR(eye)VE Project. A deep neural network learnt to reproduce the human driver focus of attention (FoA) in a variety of real-world driving scenarios.
Stars: ✭ 88 (+46.67%)
free-lunch-saliencyCode for "Free-Lunch Saliency via Attention in Atari Agents"
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Show-Attend-and-TellA PyTorch implementation of the paper Show, Attend and Tell: Neural Image Caption Generation with Visual Attention
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