usccolumbia

DeepAttentionPan

GATGNN

Pytorch Repository for our work: Graph convolutional neural networks with global attention for improved materials property prediction

Awesome-Machine-learning-for-discovery-of-physical-laws

A curated list of awesome resources on using machine learning and data science for discovery of physical laws

BERTOS

BERTOS: transformer for oxidation state prediction

deeperGATGNN

Scalable graph neural networks for materials property prediction

DeepSeqPan

A sequence-based pan model for peptide-MHC I binding affinity prediction.

GMTransformer

materialsUQ

Uncertainty Quantification for Materials Property Prediction: a Benchmark Study

MLatticeABC

Machine learning model for crystal lattice constant prediction

mtransformer

Materials Transformers

usccolumbia/100-Days-Of-ML-Code

100-Days-Of-ML-Code中文版

usccolumbia/BayesianOptimization

A Python implementation of global optimization with gaussian processes.

usccolumbia/DeepSeqPan

A sequence-based pan model for peptide-MHC I binding affinity prediction.

usccolumbia/kmFCV

K-fold-m-step forward cross-validation. A new approach of evaluating extrapolation performance in materials property prediction.

usccolumbia/3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

usccolumbia/ATCNN

ATCNN models

usccolumbia/biomagdsb

This repository contains the codes to run the nuclei segmentation pipeline of the BIOMAG group inspired by Kaggle's Data Science Bowl 2018 competition

usccolumbia/Deep-Reinforcement-Learning-Hands-On

Hands-on Deep Reinforcement Learning, published by Packt

usccolumbia/dscribe

DScribe is a python package for creating machine learning descriptors for atomistic systems.

usccolumbia/EC-Bestiary

A bestiary of evolutionary, swarm and other metaphor-based algorithms

usccolumbia/ELF

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

usccolumbia/hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

usccolumbia/icml18-jtnn

Junction Tree Variational Autoencoder for Molecular Graph Generation (ICML 2018)

usccolumbia/inaSpeechSegmenter

CNN-based audio segmentation toolkit. Allows to detect speech, music and speaker gender. Has been designed for large scale gender equality studies based on speech time per gender.

usccolumbia/Marjaninejad-et.-al.-2019-NMI

The code used in Marjaninejad-et.-al. 2019 sent to NMI

usccolumbia/Material_Science

usccolumbia/megnet

Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals

usccolumbia/mol-cycle-gan

Mol-CycleGAN - a generative model for molecular optimization

usccolumbia/MolGAN

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

usccolumbia/Neural-Voice-Cloning-with-Few-Samples

Implementation of Neural Voice Cloning with Few Samples Research Paper by Baidu

usccolumbia/opticalCNN

hybrid optical electronic convolutional neural networks

usccolumbia/pytorch-CycleGAN-and-pix2pix

Image-to-image translation in PyTorch (e.g., horse2zebra, edges2cats, and more)

usccolumbia/PyXtal

A code to generate crystal structure

usccolumbia/SC-FEGAN

SC-FEGAN : Face Editing Generative Adversarial Network with User's Sketch and Color

usccolumbia/SMACT

Python package to aid materials design

usccolumbia/SparseConvNet

Submanifold sparse convolutional networks

usccolumbia/stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

usccolumbia/Stylized-ImageNet

Code to create Stylized-ImageNet, a stylized version of standard ImageNet (ICLR 2019 Oral)

usccolumbia/tobacco_3.0

usccolumbia/VB-SRF1

Variational Bayesian-Shifted Rayleigh Filter for bearings-only tracking in clutter