Siddhant Bansal

awesome-egocentric-vision. A curated list of egocentric (first-person) vision and related area resources

Smile-Detector. Using deep learning to detect smiles from a live video feed.

EgoProceL-egocentric-procedure-learning. Code implementation for our ECCV, 2022 paper titled "My View is the Best View: Procedure Learning from Egocentric Videos"

HOI-Ref. Code implementation for paper titled "HOI-Ref: Hand-Object Interaction Referral in Egocentric Vision"

Word-recognition-EmbedNet-CAB. Code implementation for our ICPR, 2020 paper titled "Improving Word Recognition using Multiple Hypotheses and Deep Embeddings"

Word-recognition-and-retrieval. Code implementation for our DAS, 2020 paper titled "Fused Text Recogniser and Deep Embeddings Improve Word Recognition and Retrieval"

Object-Detection-MobileNet. Demonstration of Object Detection using MobileNets

Self_Driving_Car. A demonstration of Reinforcement Learning applied to a car.

Beer-Label-Classification. Code for beer label classification using SIFT and ORB

pyimage-Learning. This repository contains codes made during learning from Pyimage's Deep learning bundle

Father-Son-height. Problem of prediction of son's height based on fathers's height, solved using Liner Regression Algorithm.

Fill_missing. Code for Point Cloud Generation

3D. Pipeline for point cloud to 3D object creation.

Diabetes_Research. Neural Networks for predicting diabetes from Fingerprints.

Handwritten-Digit-Recognition. Trying to train a Neural Network from scratch without using any NN library for recognising handwritten digits using MNIST dataset.

Blog_Sid. Series of blogs by Siddhant

cart-pole. Python code for watching a ANN play cart-pole

COVID19-SIR. COVID-19 SIR model estimation

Learning-PyTorch. This repository contains codes made during learning PyTorch

simplest-neural-network. Here is the code for making a Neural Network in 9 lines of code.

Anime-Classificaton. Classify the anime to answer various questions.

Image-Processing. In this repository I'll share the codes that I have made while learning Image Processing Techniques

Logistic-Regression. This repository contains codes made during learning about Logistic Regression.

Applied-Data-Science. In this repository I'll share the Jupyter Notebooks made while learning from Applied Data Science using Python offered by University of Michigan on Coursera.

MIT-6.00.1x. This repository contains codes for Problem statements posted in course MIT 6.00.1x on edX offered by MIT.

Code-Chef. In this repository I'll share the codes that I have made to solve Code Chef problems

Sid2697. Description for the GitHub account

Sid2697.github.io. Personal Website for Siddhant Bansal

Neural-Networks. This repository contains codes made during learning about Neural Networks.

Python-to-access-web-data. In this repository I'll share the Programs made while learning from Python to access Web Data using Python offered by University of Michigan on Coursera.

vision. Datasets, Transforms and Models specific to Computer Vision

MIT-6.00.2x. This repository contains codes of Problem statements posted in course MIT 6.00.2x on edX offered by MIT