tusharnema Goto Github PK

algorithms-and-coding-interviews

Open source content from a book in progress, Preparing for the Real-world Software Engineering

awesome-deep-learning-papers

The most cited deep learning papers

bookshelf

:books: books

dat101x-edx

data-visualization

Matplotlib and Seaborn tries to make easy things easy and hard things possible. You can generate plots, histograms, power spectra, bar charts, errorcharts, scatterplots, etc., with just a few lines of code.

dating-neural-networks

This is implementation of various Deep Neural Networks starting from basic Neural networks. The implementation done here is meant to be kept simple and precise.

dbms

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-articles

deep-learning-book

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

deep-learning-papers-reading-roadmap

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

diabetes-prediction

The objective is to predict based on diagnostic measurements whether a patient has diabetes from the dataset provided by the National Institute of Diabetes and Digestive and Kidney Diseases.

face-completion-gans

fast-neural-style

Feedforward style transfer

fault-attack-on-roadrunner-block-cipher.

Now with this insight we can do fault attack on RoadRunneR block cipher and after taking both cipher text and faulty cipher text (that comes after putting fault in the 9th round key)we try to figure out the key of block cipher. Basically we get the equations from the cipher(i.e in figure 1) in which there are some unknown variables and we try to find that.

implementing-algorithms-in-python

Implementation of various Algorithms in Python from the scratch. The repository includes priority queue, binary search,heap,graph and tree Algorithms.

keras-applications

Reference implementations of popular deep learning models.

learning-projects

Implementing various opencv and neural network models for Classification problems and measuring the loss on different architectures.

milestone-tracker

A product which acts as a bridge between academia and Industry. Basically it is built on the concept that many potential projects are being done by the students in high school and college but they do not get the desired sponsers and the stand they deserve for implementing it on a vast scale or real life. Similarly many giant corporates are looking for feasable projects that can be implemented as their products to create a impact in the society basically creating a win-win situation for both The industry and students.

networkx

Official NetworkX source code repository.

nlp

ocr-using-ctc-loss

Optical Character recognition for licence plates using connectionist temporal classification loss

practicalai

📚 A practical approach to machine learning.

pwc

Papers with code. Sorted by stars. Updated weekly.

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

snake_game_opencv

The function of the project is to detect the particular color object and follow the path,when the line touch each other then it destroy the windows as saying Game over

tensorflow

Computation using data flow graphs for scalable machine learning

tusharnema.github.io

web-harvesting

Web harvesting or Web scraping is an attempt to scrape out the important data conviniently from a huge dataset. With web scraping the entire internet becomes your database which can be further be used for training and classification purposes.