shiva-adith

shiva-adith's Stars

• QijingZheng/pyband

  band plot using python matplotlib

  Language:Python14189

• CalebBell/thermo

  Thermodynamics and Phase Equilibrium component of Chemical Engineering Design Library (ChEDL)

  Language:Python594114

• alexey-krasnov/band_edge_potentials_calculator

  Calculation of the edge potentials of valence and conduction bands. The band edge potentials are in normalized hydrogen scale.

  Language:Python1

• yzhuo33/BandGapPredictor

  Predict the band gap energy for inorganic materials

  Language:Python168

• sedaoturak/data-resources-for-materials-science

  A list of databases, datasets and books/handbooks where you can find materials properties for machine learning applications.

  24140

• sebastianstarke/AI4Animation

  Bringing Characters to Life with Computer Brains in Unity

  Language:C++7.4k1k

• shinfj/WaveletCNN_for_TextureClassification

  Caffe implementation of a paper, "Wavelet Convolutional Neural Networks for Texture Classification" (arXiv, 2017)

  Language:Python3711

• kadkhodaei-research-group/XIE-SPP

  Neural Network Crystal Synthesizability Predictor (NNCSP)

  Language:Jupyter Notebook103

• CharafeddineMechalikh/PureEdgeSim

  PureEdgeSim: A simulation framework for performance evaluation of cloud, fog, and pure edge computing environments.

  Language:Java17776

• blynkkk/blynk-library

  Blynk library for IoT boards. Works with Arduino, ESP32, ESP8266, Raspberry Pi, Particle, ARM Mbed, etc.

  Language:C++3.8k1.4k

• ariquezada/FFT-spectrum-analyzer

  Open source FFT spectrum analyzer for machinery vibration analysis

  Language:Python4423

• BaartCM/FFT-Analyser

  Python, STM32duino and ESP32 code for a 4 channel FFT analyser using ADXL335 Acceleromerters

  Language:Python136

• burnash/gspread

  Google Sheets Python API

  Language:Python7k936

• matplotlib/ipympl

  Matplotlib Jupyter Integration

  Language:TypeScript1.6k224

• awesomedata/awesome-public-datasets

  A topic-centric list of HQ open datasets.

  59.3k9.8k

• aamini/introtodeeplearning

  Lab Materials for MIT 6.S191: Introduction to Deep Learning

  Language:Jupyter Notebook7.1k3.6k

• chiphuyen/ml-interviews-book

  https://huyenchip.com/ml-interviews-book/

  Language:HTML3.2k494

• mml-book/mml-book.github.io

  Companion webpage to the book "Mathematics For Machine Learning"

  Language:Jupyter Notebook12.7k2.4k

• offchan42/machine-learning-curriculum

  :computer: Learn to make machines learn so that you don't have to struggle to program them; The ultimate list

  1.1k250

• pytorch/vision

  Datasets, Transforms and Models specific to Computer Vision

  Language:Python15.7k6.9k

• florinpop17/app-ideas

  A Collection of application ideas which can be used to improve your coding skills.

  76.3k9.2k

• matheusfelipeog/beautiful-docs

  Pointers to useful, well-written, and otherwise beautiful documentation.

  9k598

• codecrafters-io/build-your-own-x

  Master programming by recreating your favorite technologies from scratch.

  284k26.6k

• EbookFoundation/free-programming-books

  :books: Freely available programming books

  328k60.6k

• DetainedDeveloper/Pokedex

  JSON data of 890 pokemons in both, single file and categorized folder in array and map structures. Scraped using Pokemon Data Scraper

  195

• trailofbits/algo

  Set up a personal VPN in the cloud

  Language:Jinja28.5k2.3k

• udacity/ML_SageMaker_Studies

  Case studies, examples, and exercises for learning to deploy ML models using AWS SageMaker.

  Language:Jupyter Notebook360422

• awesome-selfhosted/awesome-selfhosted

  A list of Free Software network services and web applications which can be hosted on your own servers

  187k9.2k

• facebookresearch/detectron2

  Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

  Language:Python29.4k7.3k

• privateersclub/wiki

  🌊 The most comprehensive game piracy wiki on the internet.

  Language:CSS85679