indrag49

indrag49's Stars

• chrislgarry/Apollo-11

  Original Apollo 11 Guidance Computer (AGC) source code for the command and lunar modules.

  Language:Assembly58.6k1.3k3817k

• JuliaLang/julia

  The Julia Programming Language

  Language:Julia45.7k92825.4k5.5k

• numpy/numpy

  The fundamental package for scientific computing with Python.

  Language:Python27.9k59712.8k10k

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.5k8601556k

• jantic/DeOldify

  A Deep Learning based project for colorizing and restoring old images (and video!)

  Language:Python18k4373862.6k

• jamiemcg/Remarkable

  Remarkable - The Markdown Editor for Linux http://remarkableapp.github.io

  Language:Python2k56375225

• scoder/lupa

  Lua in Python

  Language:Python1k32177136

• statsbomb/statsbombpy

  Easily stream StatsBomb data into Python

  Language:Python562212777

• davidcallanan/py-myopl-code

  Interpreter for the BASIC language written in Python 3

  Language:Python4691835326

• dspiegel29/ArtofStatistics

  Code for 'The Art of Statistics'

  Language:HTML464413200

• kpeeters/cadabra2

  A field-theory motivated approach to computer algebra.

  Language:C++2302124337

• pydelhi/talks

  Talks at Python Delhi User Group!

  Language:HTML681624752

• Milano-R/erum2020program

  e-Rum2020 program and materials

  Language:R578047

• marcotav/deep-learning

  Projects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the MNIST dataset, namely, a CNN using Keras and a fully-connected network using TensorFlow.

  Language:Jupyter Notebook505121

• MelkoCollective/ICTP-SAIFR-MLPhysics

  Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil

  Language:Python20905

• harsh52/endoscopy-artifact-detection

  It was my Summer internship work to detect different type of artifact in endoscopy images, it was based on EAD2019 challenge.

  Language:Jupyter Notebook1910

• 4sarathbabu/IISTThesis

  LaTeX Template for Thesis and Reports

  Language:TeX112114

• WhyR2020/abstracts

  103010

• hadexversum/HaDeX

  Analysis and Visualisation of Hydrogen/Deuterium Exchange Mass Spectrometry Data

  Language:R831082

• akshaybahadur21/ODSC-India-2019

  My session at Open Data Science Conference, Bangalore 2019 for humans

  Language:Jupyter Notebook7

• akshaybahadur21/Google-DevFest-Kolkata-2019

  My session at Google-DevFest, Kolkata 2019 for humans

  Language:Jupyter Notebook6

• marcotav/quantum-systems-out-of-equilibrium

  Language:Jupyter Notebook6302

• 4sarathbabu/UDTNSim

  Urban Delay Tolerant Network Simulator

  Language:Python3100

• carlandreaslindstrom/QFT-Simulations

  Language:Java31

• arfc/2019-09-05-group

  ARFC Group Summary Presentation, 2019

  Language:TeX26107

• harshdeeps036/QiskitFallFest21-AU

  Language:Jupyter Notebook21

• karttu/St.-Vitus-Lisp

  My very compact Lisp-interpreter for MS-DOS, the last build done February 21, 1992 !

  Language:C2200

• katyhuff/npre446

  Radiation Interactions With Matter I

  Language:TeX220

• marcotav/arxiv-style

  A Latex style and template for paper preprints (based on NIPS style)

  Language:TeX210

• katyhuff/2019-06-21-pune-webinar

  Webinar slides for PyData Pune webinar. "Data Science in Nuclear Engineering"

  Language:JavaScript110