Pinned Repositories
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
mass_decorrelated_hbb_tagger
Reinforcement_learning_scripts
Some scripts for DDPG and DQN from keras or keras-rl2
computational-physcis-2011301020083's Repositories
computational-physcis-2011301020083/mass_decorrelated_hbb_tagger
computational-physcis-2011301020083/adversarial
Tools for training and evaluating adversarially trained neural networks for de-correlated jet tagging
computational-physcis-2011301020083/computationalphysics_N2011301020083
for homework
computational-physcis-2011301020083/convolutional_neural_networks_essentials
Contains presentation deck and notebooks showcasing fundamental concepts and hands-on examples for Convolutional Neural Networks
computational-physcis-2011301020083/DDPG-RaceCar
computational-physcis-2011301020083/DijetAnalysis
Code for dijet and dibjet analysis
computational-physcis-2011301020083/DiJpsi
Analysis code for X->JJ->mumumumu
computational-physcis-2011301020083/DisCo
computational-physcis-2011301020083/Reinforcement_learning_scripts
Some scripts for DDPG and DQN from keras or keras-rl2
computational-physcis-2011301020083/disco-dynamics
Demo showing some features and performance of DisCo networks applied to a toy model with a tractable likelihood
computational-physcis-2011301020083/DQN2
Keras implementation of DQN for the MsPacman-v0 OpenAI Gym environment.
computational-physcis-2011301020083/exatrkx-neurips19
Code and instructions to reproduce the results of our NeurIPS 2019 paper
computational-physcis-2011301020083/FairMOT
A simple baseline for one-shot multi-object tracking
computational-physcis-2011301020083/FairMOT-1
computational-physcis-2011301020083/FeedDriveLibrary
This repository is for Modelica Libraries
computational-physcis-2011301020083/keras
Deep Learning for humans
computational-physcis-2011301020083/KerasOnnx
Convert keras model to onnx.
computational-physcis-2011301020083/learnmodelicabyexample
Learn Modelica by Example
computational-physcis-2011301020083/Loader_Selfdriving
it's a small library for self-driving loader with running trained Keras 2 models from a native C++ code.
computational-physcis-2011301020083/lwtnn
light NN client
computational-physcis-2011301020083/Mass-decorrelated-Xbb-tagger
Tools for training and study for de-correlated Xbb tagging using deep neural network
computational-physcis-2011301020083/multi-object-tracking-paper-list
Paper list and source code for multi-object-tracking
computational-physcis-2011301020083/nips2015_vrnn
computational-physcis-2011301020083/NN_scripts
Some NN scripts like RNN LSTM GRU CNN TM(Transformer Model) DNN MLP.
computational-physcis-2011301020083/NNConvert
Convert NN from python to C++
computational-physcis-2011301020083/schuller-geometric
Source code for lecture notes
computational-physcis-2011301020083/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
computational-physcis-2011301020083/Xbb_training
Reproduce Julian's work on Xbb training( https://gitlab.cern.ch/atlas-boosted-hbb/xbb-tagger-training ) and try to improve based on Julian's work.
computational-physcis-2011301020083/XbbTagger
Final version
computational-physcis-2011301020083/YXH_Ana
Some scripts for Y->X+H analysis