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breaking_cycles_in_noisy_hierarchies

breaking cycles in noisy hierarchies

circumvent_intrinsic_obfuscation

This is the source code for the paper "Improving Adversarial Training by Circumventing Intrinsic Gradients Obfuscation"

controlnet

Let us control diffusion models!

density_plot

A electron density difference calculation and visualization by Python Matplot for computational chemistry

findpeaks

The detection of peaks and valleys in a 1d-vector or 2d-array (image)

gpufastpoissonsolver

A implement P3M method of long range force calculation, which is based on Fast Poisson Solver and is a critical component for MCGPU project.

large_difference

Source code for the paper "Improving robustness of deep neural network via large-difference transformation" https://www.sciencedirect.com/science/article/pii/S092523122100504X

multivariable_diagram

A visualizing tool in PHP for multivariable linear regression

new-grad-positions-2023

A collection of New Grad full time roles in SWE, Quant, and PM.

newgrad-2022

processing_py

A powerful and easy-to-use Graphics Library for Python based on Processing.

pytorch-adversarial-training

PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

sym_qm

A symbolic manipulation tool to optimize integral quantum chemistry calculation approximately by subtract common subexpression

traffic

simple traffic simulator