Xu Wang (thunder112358)

thunder112358

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Company:East China Normal University

Location:Shanghai

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Xu Wang's repositories

autograd

Efficiently computes derivatives of numpy code.

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awesome-mlss

List of summer schools in machine learning + related fields across the globe

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awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

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Awesome-VAEs

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

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CapsNet-Keras

A Keras implementation of CapsNet in Hinton's paper Dynamic Routing Between Capsules

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chainer-disentanglement-lib

Unsupervised Disentanglement Representation Learning in Chainer

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Deep-Learning

Tutorial on Deep Learning including Autograd, NN writen by pure Numpy and NN writen by PyTorch

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Deep-Learning-Interview-Book

深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)

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DeepNude-an-Image-to-Image-technology

Research techniques and papers related to image generation and image restoration used by DeepNude. 研究DeepNude使用的图像生成和图像修复相关的技术和论文。

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examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

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hamiltonian-nn

Code for our paper "Hamiltonian Neural Networks"

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InfoGAN-PyTorch

PyTorch Implementation of InfoGAN

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machine-learning-for-software-engineers

A complete daily plan for studying to become a machine learning engineer.

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Machine_Learning_Tutorials

Code, exercises and tutorials of my personal blog ! 📝

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magenta

Magenta: Music and Art Generation with Machine Intelligence

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matplotlib-tutorial

Matplotlib tutorial for beginner

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nlp_tasks

Natural Language Processing Tasks and References

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Notebooks

IPython Notebooks on various things

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pixyz

A library for developing deep generative models in a more concise, intuitive and extendable way

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posterior-collapse-list

A curated list of techniques to avoid posterior collapse

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py12306

🚂 12306 购票助手,支持分布式,多账号,多任务购票以及 Web 页面管理

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Python

All Algorithms implemented in Python

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state-of-the-art-result-for-machine-learning-problems

This repository provides state of the art (SoTA) results for all machine learning problems. We do our best to keep this repository up to date. If you do find a problem's SoTA result is out of date or missing, please raise this as an issue or submit Google form (with this information: research paper name, dataset, metric, source code and year). We will fix it immediately.

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transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.

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VAEs

Collections of VAEs

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