Stars
A generative AI powered application to chat with your proprietary knowledge base/library.
openperplex is an opensource AI search engine
Streamlit — A faster way to build and share data apps.
OpenAI GPT-3 NLP task completion & Stable Diffusion Text2Image generator, before ChatGPT and DALL-E
GNN, GCN, Molecular Solubility, RDKit, Cheminformatics
A bot that post the first comment on every new video of specified channels.
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Machine learning-based prediction models with time-series data (1. ECG Signal Classification)
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Some introductory and interesting topics in machine learning and deep learning: EDA, HMM, kNN, linear regression, logistic regression, Naive Bayes Classifier, Support Vector Machines etc.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
Automatic extraction of relevant features from time series:
Implementation of linear and logistic regression models using gradient descent algorithm
Implementation of brute-force kNN classifier, testing kNN with wine dataset
Scraping tweets from twitter using Tweepy, collecting Trump tweets and analysis, creating a Twitter bot
Slides and code from our TensorFlow workshop.
Analysis, visualization and prediction model development of the Global Terrorism Database.
A jupyter notebook/article that I put together examining the evidence for and against Trump's claims of voter fraud in the 2016 election.
Exploration of kaggle House Price Data and building house price prediction models
kaggle-titanic: machine learning solution with tensorflow