imsparsh
I am an internet activist & a programming enthusiast, have a good hand in Web Development, and Machine Learning. Otherways, used to watch movies & play guitar.
L&T InfotechDelhi, India
imsparsh's Stars
TheAlgorithms/Python
All Algorithms implemented in Python
donnemartin/interactive-coding-challenges
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
jtoy/awesome-tensorflow
TensorFlow - A curated list of dedicated resources http://tensorflow.org
chiphuyen/machine-learning-systems-design
A booklet on machine learning systems design with exercises. NOT the repo for the book "Designing Machine Learning Systems"
sobolevn/awesome-cryptography
A curated list of cryptography resources and links.
faridrashidi/kaggle-solutions
🏅 Collection of Kaggle Solutions and Ideas 🏅
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
makcedward/nlpaug
Data augmentation for NLP
MAZHARMIK/Interview_DS_Algo
Super Repository for Coding Interview Preperation
changwookjun/StudyBook
Study E-Book(ComputerVision DeepLearning MachineLearning Math NLP Python ReinforcementLearning)
codrops/NotificationStyles
Various simple ideas and effects for unobtrusive notifications on a website.
handsomecode/InteractiveSideMenu
iOS Interactive Side Menu written in Swift.
aasu14/Data-Science-Hackathon-And-Competition
Grandmaster in MachineHack (3rd Rank Best) | Top 70 in AnalyticsVidya & Zindi | Expert at Kaggle | Hack AI
emirhanai/Cryptocurrency-Prediction-with-Artificial-Intelligence
First Version.. Cryptocurrency Prediction with Artificial Intelligence (Deep Learning via LSTM Neural Networks)- Emirhan BULUT
remyhuang/pop-music-highlighter
"Pop Music Highlighter: Marking the Emotion Keypoints", TISMIR vol. 1, no. 1
faizann24/phishytics-machine-learning-for-phishing
Machine Learning for Phishing Website Detection
asingleneuron/hackathons_solution
Find the solution of machine learning competitions I am participating.
imane-chen/GTZAN-Music-Genre-Classification
Music. Experts have been trying for a long time to understand sound and what differentiates one song from another. How to visualize sound. What makes a tone different from another. The data contain a set of collection of 10 genres (classic, jazz, pop..) with 100 audio, and each audio corresponds to a visual representation image representation for each file so in order to build a model classifier we will use a Convolutional Neural Network (CNN) to complete the task. Tools : PYTHON, Librosa, Keras. DataSource : http://marsyas.info/downloads/datasets.html
remyhuang/my-leetcode