Stochastic gradient descent with model building
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Updated
Feb 15, 2023 - Python
Stochastic gradient descent with model building
[Neurips 2022] "Deep Architecture Connectivity Matters for Its Convergence: A Fine-Grained Analysis" by Wuyang Chen*, Wei Huang*, Xinyu Gong, Boris Hanin, Zhangyang Wang
A Python math package for numerical analysis: root finding, iterative solvers & other algorithms. Bisection, Newton, Euler, RK2, RK4, Adams-Bashforth-Moulton, etc. Uses Python, NumPy, SymPy, pytest.
Worth-reading papers and related awesome resources on deep learning optimization algorithms. 值得一读的深度学习优化器论文与相关资源。
Alpha Belief Propagation
Special Project - CA classification (2019 Fall)
Analysis of simulation data obtained with the ParMooN finite element package.
Bayesian inference tools, allowing to execute Gibbs sampling and run some diagnostics on results.
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