Sangram-Rout
Engineer with five years experience, currently pursuing a master’s degree in Northwestern University undertaking courses in Machine Learning, Robotics
sangramrout2021@u.northwestern.eduCA
Pinned Repositories
2020_Grant
Code base for the Grant, Morales-Nebreda, and Markov et al., “Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia” Nature (2021) paper
acoustic-bird-detection
Machine learning tools for acoustic bird detection
applied-machine-learning-intensive
Applied Machine Learning Intensive
Audio-Classification
Code for YouTube series: Deep Learning for Audio Classification
Barrel-Throttle-body
bioinformatics2
Breast-cancer-risk-prediction
Classification of Breast Cancer diagnosis Using Support Vector Machines
coding-interview-university
A complete computer science study plan to become a software engineer.
cs224w-notes
CS224W Course Notes
Sangram-Rout's Repositories
Sangram-Rout/2020_Grant
Code base for the Grant, Morales-Nebreda, and Markov et al., “Circuits between infected macrophages and T cells in SARS-CoV-2 pneumonia” Nature (2021) paper
Sangram-Rout/Audio-Classification
Code for YouTube series: Deep Learning for Audio Classification
Sangram-Rout/Barrel-Throttle-body
Sangram-Rout/bioinformatics2
Sangram-Rout/CS224W_Winter2021
CS224W Stanford Winter 2021 Homework solutions
Sangram-Rout/deepchem
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology
Sangram-Rout/DeepLearningLifeSciences
Example code from the book "Deep Learning for the Life Sciences"
Sangram-Rout/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Sangram-Rout/ENTREP-474-ISEN-430-Nuvention_Energy
Entrepreneurship opportunities within energy sector
Sangram-Rout/FEA-Work
Sangram-Rout/gensim
Topic Modelling for Humans
Sangram-Rout/GraphGym
Platform for designing and evaluating Graph Neural Networks (GNN)
Sangram-Rout/graphml-tutorials
Tutorials for Machine Learning on Graphs
Sangram-Rout/handson-ml2
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Sangram-Rout/handsonMLcolab2
Sangram-Rout/Industry-4.0
Side channel attack on 3d printers
Sangram-Rout/keras-io
Keras documentation, hosted live at keras.io
Sangram-Rout/Knitmorphs
Paper and odb files
Sangram-Rout/me314
Sangram-Rout/ML_Codes
Personal_notes and codes from Hands-on ML
Sangram-Rout/networkx
Network Analysis in Python
Sangram-Rout/node2vec
Sangram-Rout/ogb
Benchmark datasets, data loaders, and evaluators for graph machine learning
Sangram-Rout/practical-ml-vision-book
Sangram-Rout/PythonRobotics
Python sample codes for robotics algorithms.
Sangram-Rout/pytorch_geometric
Graph Neural Network Library for PyTorch
Sangram-Rout/Sangram-Rout.github.io
Personal Website
Sangram-Rout/scanpy
Single-cell analysis in Python. Scales to >1M cells.
Sangram-Rout/scanpy_usage
Scanpy use cases.
Sangram-Rout/tensorboard
TensorFlow's Visualization Toolkit