linjing-lab/easy-pytorch

The prominent cases about neural network based on PyTorch.

Hey, I'm Jing Lin

I'm a Chinese student in the Mathematics Base Class at Wuhan University of Technology, where I individually developed a scientific package that support efficient algorithms for optimization. It was an experience in Qingdao Institute for Theoretical and Computational Science, which belongs to Institute of Frontier and Interdisciplinary Science in Shandong University. I derived radial Gaussian-type orbital integral of frequency dependent and frequency independent with recursive excited state calculations for quantum electrodynamics in a target group called The Beijing Density Functional (BDF) Program Package: Methodologies and Applications of World Scientific. Empirical tuning parameters and smooth meta training are perspectives, both are assigned by resources and approaches. Once step in such way as research from codes or develop from papers, make acceleration and improvement.

About Me

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• 📈 Promoting the development of Polars by maintaining Chinese document.

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