TianXueCong

TianXueCong's Stars

• pengxingang/TEIM

  TEIM: TCR-Epitope Interaction Modeling

  Language:Python423

• daifengwanglab/DeepGAMI

  Language:Python42

• stat115/Lab_2021

  Repository for all the labs for Spring 2021

  Language:HTML8581

• AspirinCode/papers-for-molecular-design-using-DL

  List of Molecular and Material design using Generative AI and Deep Learning

  64192

• alishdipani/Neural-Style-Transfer-Audio

  This is PyTorch Implementation of Neural Style Transfer Algorithm which is modified for Audios.

  Language:Python7729

• andabi/deep-voice-conversion

  Deep neural networks for voice conversion (voice style transfer) in Tensorflow

  Language:Python3.9k843

• hindupuravinash/the-gan-zoo

  A list of all named GANs!

  Language:Python14.2k2.5k

• rashley2712/spectra

  Various spectrum utilities

  Language:Python1

• jayshah19949596/Machine-Learning-Models

  Decision Trees, Random Forest, Dynamic Time Warping, Naive Bayes, KNN, Linear Regression, Logistic Regression, Mixture Of Gaussian, Neural Network, PCA, SVD, Gaussian Naive Bayes, Fitting Data to Gaussian, K-Means

  Language:Matlab331142

• Craigacp/FEAST

  A FEAture Selection Toolbox for C/C+, Java, and Matlab/Octave.

  Language:C6971

• LeadingIndiaAI/-Fake-News-Detection-

  Fake news is misinformation or manipulated news that is spread across the social media with an intention to damage a person, agency and organisation. Due to the dissemination of fake news, there is a need for computational methods to detect them. Fake news detection aims to help users to expose varieties of fabricated news. To achieve this goal, first we have taken the datasets which contains both fake and real news and conducted various experiments to organize fake news detector. We used natural processing, machine learning and deep learning techniques to classify the datasets. We yielded a comprehensive audit of detecting fake news by including fake news categorization, existing algorithms from machine learning techniques. In this project, we explored different machine learning models like Naïve Bayes, K nearest neighbors, decision tree, random forest and deep learning networks like Shallow Convolutional Neural Networks (CNN), Deep Convolutional Neural Network (VDCNN), Long Short-Term Memory Network (LSTM), Gated Recurrent Unit Network (GRU), Combination of Convolutional Neural Network with Long Short-Term Memory (CNN-LSTM) and Convolutional Neural Network with Gated Recurrent Unit (CNN-LSTM).

  Language:Jupyter Notebook3016

• guoguanglu/Andrew-Ng_machine-learning

  my note about the Andrew-Ng's machine learning videos

  Language:Matlab11