Anoushkrit Goel's Projects
From scratch implementation of some deep learning, machine learning and reinforcement learning
User Description
Personal Website
This is a highly competitive area with most of the companies involving in the same for analyzing the diseases which come in a package and are directly or indirectly related to each other.
Repository for the project created from February '16 to April '16
Official codebase for Decision Transformer: Reinforcement Learning via Sequence Modeling.
Sources to refer for educational purposes
My knowledge source and research material for delving into the field of RL and Deep Reinforcement Learning
Deep Learning approaches to predict the the cancerous ailments.
Deep White Matter Analysis
This is just a fork of Facebooks Demucs denoiser
"DFC: Anatomically Informed Unsupervised Deep Learning for Fast and Effective White Matter Fiber Clustering", MICCAI 2021 (travel award, early accepted).
Repository for the website "drsanjaygoel.org".
This is a repository created for collaborating, storing and sharing of code for DSP project.
Learn to Code While Building Apps - The Complete Flutter Development Bootcamp
Geolab : Geometric-based tractography parcellation of Superficial white matter
this repository accompanies my forthcoming book "Grokking Deep Learning"
Contains information regarding living the optimal health which are based on my personal understanding, experience and knowledge
Hidden Markov Models in Python, with scikit-learn like API
from official codebase of [decision-transformer](https://github.com/kzl/decision-transformer)
Extract structured data from PDF invoices
This code is implementation of "Local Gabor Rank Pattern (LGRP): A novel descriptor for face representation and recognition," in 7th IEEE International Workshop on Information Forensics and Security (WIFS), 2015'
Keras implementation of Noise Masking RNN for respiratory sound classification
This repository contains all of the data of the MOOCs that I have taken.
A multimodal language model from scratch with capabilities to add new modalities, beyond image, text or video.