Tarun Saini's Projects
Tutorials, practice exercises for TensorFlow
Practical Examples for RNNs in Tensorflow
This is a Udemy Course on Python3 (Beginner to Advanced). These are all the exercises and projects that I have done so far from the course.
Jupyter notebooks for summarizing and reproducing the textbook "The Elements of Statistical Learning" 2/E by Hastie, Tibshirani, and Friedman
Source based extractive summarizer web-app and chatbot.
Code repository for Think Bayes.
LaTeX source and supporting code for Think Python, 2nd edition, by Allen Downey.
Text and supporting code for Think Stats, 2nd Edition
Tidy Data in Python Jupyter Notebook
Jupyter Notebooks Collection for Learning Time Series Models
Time Series Analysis with Python
Automatic Text Summarization and Title Generation.
A Python tool that automatically creates and optimizes Machine Learning pipelines using genetic programming.
Deep Transfer Reinforcement Learning for Text Summarization
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.
Translate - a PyTorch Language Library
Generating automatic trimap through pixel dilation and strongly-connected-component algorithms
Jupyter notebooks on time series econometrics topics.
A repository for various Jupyter notebooks and other tutorial material
A repository detailing work involved in the kaggle competition Tweet Sentiment Extraction (Jupyter Notebook)
A Twitter bot based on seq2seq model, trained on twitter chat log
Monitors Twitter for interesting articles
Scrape tweets from twitter for Sentiment Analysis
Crawling twitter for smiley distant supervision
Determining the usage of the Uber cabs customers
Notebooks for Course
Complete Python Masterclass from Udemy