Stars
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Streamlit — A faster way to build and share data apps.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Automatic extraction of relevant features from time series:
openperplex is an opensource AI search engine
Slides and code from our TensorFlow workshop.
Hands-on LangGraph course repo for building production-grade LLM agents with Agentic RAG, ReAct, and reflection workflows.
Core 7 layers of production grade agentic system
A bot that post the first comment on every new video of specified channels.
ECG classification from short single lead segments (Computing in Cardiology Challenge 2017 entry)
GNN, GCN, Molecular Solubility, RDKit, Cheminformatics
A jupyter notebook/article that I put together examining the evidence for and against Trump's claims of voter fraud in the 2016 election.
OpenAI GPT-3 NLP task completion & Stable Diffusion Text2Image generator, before ChatGPT and DALL-E
Machine learning-based prediction models with time-series data (1. ECG Signal Classification)
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.
Scraping tweets from twitter using Tweepy, collecting Trump tweets and analysis, creating a Twitter bot
Analysis, visualization and prediction model development of the Global Terrorism Database.
A generative AI powered application to chat with your proprietary knowledge base/library.
Implementation of linear and logistic regression models using gradient descent algorithm
Implementation of brute-force kNN classifier, testing kNN with wine dataset
Exploration of kaggle House Price Data and building house price prediction models
kaggle-titanic: machine learning solution with tensorflow