Rishab Sharma's Projects
AIML: Artificial Intelligence Markup Language AIML (Artificial Intelligence Markup Language) is an XML-compliant language that's easy to learn, and makes it possible for you to begin customizing an Alicebot or creating one from scratch within minutes.
Implementation of Algorithms in Python
Common user API's for IMAD platform
:octocat: A curated awesome list of lists of interview questions. Feel free to contribute! :mortar_board:
:metal: awesome-semantic-segmentation
A curated list of amazingly awesome open source sysadmin resources inspired by Awesome PHP.
[https://rishabbot.herokuapp.com] I implement Tensorflows Sequence to Sequence model to train a chatbot on a reddit/AIML compatible open-source dataset. The bot holds a fun conversation and its just been trained for sometime .
This is the code for a model that recognizes handwritten digit images (MNIST). Developed using TensorFlow and the super simple Keras Library. Wrapped into a Webapp using Flask Micro Framework.
A website which I made for my startup Name: Codesutra , Its one of my best sample work for front-end , totally recommended by me if You want to see my work on front-end tech.
India has a prominent spot in the space research domain and stands tall along with the developed nations. It has added one more feather to its cap, when on September 26, 2016, India's space agency ISRO launched eight satellites from one rocket into two different orbits. ISRO has been leading the space research since its inception in 1969 and demonstrated its technical prowess by sending “MOM: Mission on Mars” on a minuscule budget. Taking inspiration from these missions, e-Yantra has developed the theme “Cross a Crater” for eYRC-2016. Consider the following scenario: e-Yantra has sent its rover for an expedition to the red planet Mars. The mission is to collect samples to determine if life sustaining factors exist in this planet. While returning to the Base Station from a different route the rover has encountered a huge crater that it needs to cross. The crater has two paths comprising of cavities along the way. These cavities need to be filled using appropriate boulders by taking a feed from the nearest satellite to make them traversable. The above scenario has been simplified and abstracted as an arena for this theme. The arena represents a crater and comprises of two partially traversable bridges, Bridge 1 and Bridge 2 with cavities at random positions leading to the Base Station. The rover takes the feed from a camera directly above it that guides it towards filling the cavities using conical structures and navigating the bridge. Navigating each of the bridges involve different challenges. The rover has to traverse using one of these bridges and reach the Base Station. The teams have to design, program and control an autonomous robot and use image processing techniques to complete the tasks. The team which traverses the bridge and reaches the base in the least possible time will be declared the Winner
Differentiable architecture search for convolutional and recurrent networks
My Data Science codes
A deep analysis app
A machine Learning capstone app for dress searching and catalog browsing.
Web Portal For All Type of Emergency Services || They are the Police, Fire Brigade , Ambulance Service and Electricity. Emergency services are usually free. Also a special provision for our geek pals , we also provide a Internet emergency service which you can reach out for help on a attack like DDOS or SQLInjection.
一款优秀的人脸、视频、文字：检测、识别的智能AI项目。
Fully automated file encryption using OpenSSL
A microframework based on Werkzeug, Jinja2 and good intentions
My sample work for a simple web-app made on Python micro-framework Flask(Backend Technology)
wgan, wgan2(improved, gp), infogan, and dcgan implementation in lasagne, keras, pytorch
MAP PLOTTING USING GEOSPATIAL DATABASE is 2 way project in which a geospatial database can be plotted on a map depicting the various polygons which refer to the lease area of a company along with the point data depicting the wells and boreholes.
Hack in the north
Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization
Base repository for IMAD V2 course application. PLEASE DO NOT submit PRs, or push to this git repository!
Image Classifier in TensorFlow || an extension of my research work
My Image Repository deployed on Heroku using Gunicorn with a flask Backend
As observed machine learning, computer vision techniques and other computer science algorithms cannot compete the human level of intelligence in pattern recognition such as hand written digits and traffic signs. But here we have reviewed a biologically plausible deep neural network architecture which can make it possible using a fully parameterizable GPU implementation deep neural network independent of the pre-wired feature extractors designing, which are rather learned in a supervised way. In this method tiny fields of winner neurons gives sparsely connected neural layers which leads to huge network depth as found in human like species between retina and visual cortex. The winning neurons are trained on many columns of deep neurons to attain expertise on pre-processed inputs in many different ways after which their predictions are averaged. Also GPU used, enables the models to be trained faster than usual. Upon testing the proposed method over MNIST handwriting data it achieves a near-human performance. Upon considering traffic sign recognition, our architecture has an upper hand by a factor of two. We also tried to improve the state-of-theart on a huge amount of common image classification benchmarks.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent