computational-physcis-2011301020083 Goto Github PK

adversarial

Tools for training and evaluating adversarially trained neural networks for de-correlated jet tagging

computational_physics_whu

Something about the computational physics lesson

computationalphysics_n2011301020083

for homework

convolutional_neural_networks_essentials

Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks

ddpg-racecar

dijetanalysis

Code for dijet and dibjet analysis

dijpsi

Analysis code for X->JJ->mumumumu

disco

disco-dynamics

Demo showing some features and performance of DisCo networks applied to a toy model with a tractable likelihood

dqn2

Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.

exatrkx-neurips19

Code and instructions to reproduce the results of our NeurIPS 2019 paper

fairmot

A simple baseline for one-shot multi-object tracking

fairmot-1

feeddrivelibrary

This repository is for Modelica Libraries

keras

Deep Learning for humans

kerasonnx

Convert keras model to onnx.

learnmodelicabyexample

Learn Modelica by Example

loader_selfdriving

it's a small library for self-driving loader with running trained Keras 2 models from a native C++ code.

lwtnn

light NN client

mass-decorrelated-xbb-tagger

Tools for training and study for de-correlated Xbb tagging using deep neural network

mass_decorrelated_hbb_tagger

multi-object-tracking-paper-list

Paper list and source code for multi-object-tracking

nips2015_vrnn

nn_scripts

Some NN scripts like RNN LSTM GRU CNN TM(Transformer Model) DNN MLP.

nnconvert

Convert NN from python to C++

openhydraulics

A free Modelica package providing components describing 1-dimensional fluid flow in hydraulic circuits.

reinforcement_learning_scripts

Some scripts for DDPG and DQN from keras or keras-rl2

schuller-geometric

Source code for lecture notes

spearmint

Spearmint is a package to perform Bayesian optimization according to the algorithms outlined in the paper: Practical Bayesian Optimization of Machine Learning Algorithms. Jasper Snoek, Hugo Larochelle and Ryan P. Adams. Advances in Neural Information Processing Systems, 2012

xbbtagger

Final version