This is your work, valued

Beijing

Chenfei Wu

Elite
@chenfei-wu

Qwen's Painter now. My research interests lie in visual generation, with a focus on joint modeling of perception and generation.

chenfei-wu.github.io/

TaskMatrix. Python

34k

vqa-playground-pytorch. Code for NIPS 2018 paper, "Chain of Reasoning for Visual Question Answering"

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HieCoAttenVQA. Jupyter Notebook

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vq-vae-2-pytorch. Implementation of Generating Diverse High-Fidelity Images with VQ-VAE-2 in PyTorch

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IntelliJ-EmmyLua. Lua IDE for IntelliJ IDEA

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nlp-fact-extractor. Solutions for extracting information from massive free-text resources, such as Wikipedia and generating a database of facts and information.

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FCN.tensorflow. Tensorflow implementation of Fully Convolutional Networks for Semantic Segmentation (http://fcn.berkeleyvision.org)

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vqa-winner-cvprw-2017. Pytorch Implementation of winner from VQA Chllange Workshop in CVPR'17

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Visual-Relationship-Detection. MATLAB

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generative-models. Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

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chenfei-wu.github.io. SCSS

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vqa-counting. Learning to Count Objects in Natural Images for Visual Question Answering

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char-rnn-tensorflow. Multi-layer Recurrent Neural Networks (LSTM, RNN) for character-level language models in Python using Tensorflow

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BERT-pytorch. Google AI BERT 2018 pytorch implementation

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vqa.pytorch. Visual Question Answering in Pytorch

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clevr-iep. Inferring and Executing Programs for Visual Reasoning

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neural_kbqa. Knowledge Base Question Answering using memory networks

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academicpages.github.io. chenfei's homepage

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Relation-Network-Tensorflow. Tensorflow implementations of Relational Networks and a VQA dataset named Sort-of-CLEVR proposed by DeepMind.

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