Tarun Saini's Projects
Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018
This is my B.Tech Final Year project. The aim of this project is to reduce the number of input devices to one which is the webcam.
Python Data. Leaflet.js Maps.
Building a foundation for deep learning with mathematics and neuroscience
Free Python Games
Fuzzy String Matching in Python
https://www.kaggle.com/crowdflower/twitter-user-gender-classification
Just a blogging platform
A supercharged Git/GitHub command line interface (CLI). An official integration for GitHub and GitHub Enterprise: https://github.com/works-with/category/desktop-tools
Python client library for Google Maps API Web Services
Code for the paper "Language Models are Unsupervised Multitask Learners"
Python package to easily retrain OpenAI's GPT-2 text-generating model on new texts
The goal of this project is to enable users to create cool web demos using the newly released OpenAI GPT-3 API with just a few lines of Python.
This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.
The hands-on NLTK tutorial for NLP in Python
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Hack Session @ DataHack Summit 2019
Jupyter notebook of (python/Pandas) code snippets for handy matplotlib and Seaborn plotting functions to speed up EDA
文本挖掘和预处理工具(文本清洗、新词发现、情感分析、实体识别链接、句法分析等),无监督或弱监督(种子词)方法
:notebook: Sample Jupyter Notebooks to explore Home Assistant data
A collection of Jupyter Notebooks from the How to Python series
Python module to perform under sampling and over sampling with various techniques.
論文を読んだふりしてライバルに差をつけろ
Document Search Engine Tool
Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
Fit interpretable models. Explain blackbox machine learning.
Jupyter notebooks and other materials developed for the Columbia course APMA 4300