Shivank's starred repositories
devika
Devika is an Agentic AI Software Engineer that can understand high-level human instructions, break them down into steps, research relevant information, and write code to achieve the given objective. Devika aims to be a competitive open-source alternative to Devin by Cognition AI.
faster-whisper
Faster Whisper transcription with CTranslate2
pytorch-grad-cam
Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.
VoiceCraft
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Person_reID_baseline_pytorch
:bouncing_ball_person: Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
a-PyTorch-Tutorial-to-Image-Captioning
Show, Attend, and Tell | a PyTorch Tutorial to Image Captioning
py-motmetrics
:bar_chart: Benchmark multiple object trackers (MOT) in Python
Change-Detection-Review
A review of change detection methods, including codes and open data sets for deep learning. From paper: change detection based on artificial intelligence: state-of-the-art and challenges.
dipum-toolbox
MATLAB code for the book Digital Image Processing Using MATLAB (DIPUM)
No-Code-Classification-Toolkit
Containerized Tensorflow-based image classification training utility with Streamlit-based interface designed to choose between common architectures and optimizers for quick hyperparameter tuning.
LunarLander-using-DQN
We apply DQN algorithm to make and artificial agent learn how to land space-craft on moon.
MultipleFaceRecognition-AttendanceSystem
A wide angle CCTV placed above the blackboard of the class detects the faces of all the children, recognizes them and marks their attendance.
BananaPicker-Navigation
We train an agent to manuver in a 3-D environment avoiding blue bananas and picking yellow ones as fast as possible.
boston_housing
In this project, you will evaluate the performance and predictive power of a model that has been trained and tested on data collected from homes in suburbs of Boston, Massachusetts. A model trained on this data that is seen as a good fit could then be used to make certain predictions about a home — in particular, its monetary value. This model would prove to be invaluable for someone like a real estate agent who could make use of such information on a daily basis.
MultiPersonMatching
Multi Person Matching
Smile-Detection-ML-Vs-DL-Case-Study
This project was created as a case study to demonstrate how sometimes powerful deep learning methods are overkill to certain problems and can infact perform worse than machine learning techniques.
twitter-sentiment-analysis
Twitter sentiment analysis using R
Deep-Reinforcement-Learning
The repository contains some projects I worked on during learning Deep Reinforcement Learning using some environments like OpenAI Gym & Unity ML-agents