Pankaj Gupta's repositories
JuliaTutorials
Learn Julia via interactive tutorials!
computer-science
:mortar_board: Path to a free self-taught education in Computer Science!
free-programming-books
:books: Freely available programming books
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
Data-Science-From-Linkedin
This repository focuses on saving my linkedin articles and stuff that I find "USEFUL" on LinkedIn.
Deep-Learning-Papers-Reading-Roadmap
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
ML-For-Beginners
12 weeks, 24 lessons, classic Machine Learning for all
ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code
500 AI Machine learning Deep learning Computer vision NLP Projects with code
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
dopamine
Dopamine is a research framework for fast prototyping of reinforcement learning algorithms.
ML-From-Scratch
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
my-cs-degree
A CS degree with a focus on full-stack ML engineering, 2020
Image-Forgery-Detection-CNN
Image forgery detection using convolutional neural networks. Group 10's final project for TU Delft's course CS4180 Deep Learning 2019.
The-Complete-FAANG-Preparation
This repository contains all the DSA (Data-Structures, Algorithms, 450 DSA by Love Babbar Bhaiya, FAANG Questions), Technical Subjects (OS + DBMS + SQL + CN + OOPs) Theory+Questions, FAANG Interview questions, and Miscellaneous Stuff (Programming MCQs, Puzzles, Aptitude, Reasoning). The Programming languages used for demonstration are C++, Python, and Java.
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
course-content
Content for NMA Computational Neuroscience course
precourse
A repo for the pre-course work at home exercises
roadmaps
This repo is to add pages on various career paths and roadmaps such as data scientist, software engineer etc.
birdclef21
Data Science work for the Kaggle BirdCLEF 2021 competition
Audio-Classification
Code for YouTube series: Deep Learning for Audio Classification
jupyter-themes
Custom Jupyter Notebook Themes
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.