harshasanthapur Goto Github PK

annotated_deep_learning_paper_implementations

🧑‍🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

artificial-intelligence-deep-learning-machine-learning-tutorials

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas such as Climate / Energy, Automotives, Retail, Pharma, Medicine, Healthcare, Policy, Ethics and more.

awesome-computer-vision

A curated list of awesome computer vision resources

background-matting

Background Matting: The World is Your Green Screen

bmw

cagrad

cityscapesscripts

README and scripts for the Cityscapes Dataset

cnn-explainer

Learning Convolutional Neural Networks with Interactive Visualization.

codehelp-dsa-busted-series

This repo is creating providing students easy access to all the programs taught under Codehelp's DSA Busted Series.

coding-interview-university

A complete computer science study plan to become a software engineer.

complete-python-3-bootcamp

Course Files for Complete Python 3 Bootcamp Course on Udemy

computer-vision-video-lectures

Collection of free courses with video lectures related to the field of Computer Vision.

course-v3

The 3rd edition of course.fast.ai

course20

Deep Learning for Coders, 2020, the website

coursera-deeplearning

deeplearning.ai - Deep Learning Specialization by Andrew Ng

coursera-machinelearning

Stanford University - Machine Learning by Andrew Ng

cs131_notes

Class notes for CS 131.

cs131_release

Released assignments for the Stanford's CS131 course on Computer Vision.

cs231n-2017-summary

After watching all the videos of the famous Standford's CS231n course that took place in 2017, i decided to take summary of the whole course to help me to remember and to anyone who would like to know about it. I've skipped some contents in some lectures as it wasn't important to me.

cvnd_exercises

Exercise notebooks for CVND.

d2l-en

Interactive deep learning book with code, math, and discussions. Available in multi-frameworks.

darknet

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

data-structures-and-algorithms

Data Structures and Algorithms in Python

data-structures-and-algorithms-1

data_science_bootcamp

datasciencewithpyhon

DataCamp

datasets_for_analysis

Multiple .csv files for data analysis/ learn Data Science

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deeplearning.ai-summary

This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.

deeplearning_books