Rishabh Malviya's repositories
Spiking-Neural-Network-Simulations
A series of simulations organized as homework assignments that were part of the course on Neuromorphic Engineering at IIT Bombay (course code: EE 746), taught by Professor Bipin Rajendran
intellij-settings-kotlin-competitive
Importable settings for Intellij. These settings aim to make it easier for you to write, test and submit Kotlin code to Competitive Programming contests on various websites..
dqn_experiments
Experimenting with PyTorch DQNs on various environments
SNN_Arduino
A library that you can use to build spiking neural network brains for your Arduino robots! Largely allows you to follow the paradigms of liquid state machines with LIF neurons.
aptkode-intellij-plugin-learning
Repository to go along with this tutorial by AptKode: https://www.youtube.com/watch?v=fVos38m3CU4
Ask-The-Docs
Finetune LLMs on readthedocs.io style documentation to quickly create framework-specific assistants.
face_recognition_ros_wrapper
ROS Wrapper for Python face_recognition library. Implements few-shot learning with Siamese Neural Networks under the hood.
FCNs_Torch
An implementation of FCNs for Image Segmentation in Torch.
cookiecutter-kaggle
Cookie Cutter Project for Kaggle Competitions
ml-deployment-template
A template project for packaging and deploying your Machine Learning model as a REST API.
feed-killer
A Chrome extension to remove the weeds (sorry, feeds) from webpages
kotlin-competitive-lib
Library Infra for trying out new algos/ds in Kotlin
ktor-cc-parser-server
CC Parser Server
PathFinderFlaskApp
Sample code structure for a simple Flask app
PyTestParametrization_Article
Code to go with this article:
rishabhmalviya_drlnd-p1_submission
Submission for the first project in the Udacity Deep Reinforcement Learning Nanodegree
rishabhmalviya_drlnd-p2_submission
My submission for the second project of the Udacity Deep Reinforcement Learning Nanodegree
Semantic_Perception
Semantic Perception internship assignment for CMU 2016 summer internships