Pinned Repositories
2022_syncnet
SyncNet for Time Synchronization
aed-with-constraints
ACE
Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
bayes-nn
Lecture notes on Bayesian deep learning
Breast-Cancer-Pred
Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction
CMPR_HEART
This is a Python- based implementation of various (at least 10) Research Studies/ Articles/ proposals already published on the task of heart disease prediction using Machine Learning and accomplishment the same results.
covidfromcough
This repository includes the unofficial implementation and study of research articles on detection of CoVID-19 using Speech, Breathing and Cough sounds.
CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
raina-akshay
raina-akshay's Repositories
raina-akshay/CMPR_HEART
This is a Python- based implementation of various (at least 10) Research Studies/ Articles/ proposals already published on the task of heart disease prediction using Machine Learning and accomplishment the same results.
raina-akshay/covidfromcough
This repository includes the unofficial implementation and study of research articles on detection of CoVID-19 using Speech, Breathing and Cough sounds.
raina-akshay/Breast-Cancer-Pred
Comparison of Different Machine Learning Classification Algorithms for Breast Cancer Prediction
raina-akshay/ACE
Code for the paper, Neural Network Attributions: A Causal Perspective (ICML 2019).
raina-akshay/bayes-nn
Lecture notes on Bayesian deep learning
raina-akshay/CSrankings
A web app for ranking computer science departments according to their research output in selective venues, and for finding active faculty across a wide range of areas.
raina-akshay/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
raina-akshay/DIM
Deep InfoMax (DIM), or "Learning Deep Representations by Mutual Information Estimation and Maximization"
raina-akshay/explain-ml
raina-akshay/raina-akshay
raina-akshay/SDE
Example codes for the book Applied Stochastic Differential Equations
raina-akshay/Dom_Adaptation_using_Maximum_Classifier_Discrepancy
raina-akshay/madhavlab.github.io
raina-akshay/prml
Repository of notes, code and notebooks for the book Pattern Recognition and Machine Learning by Christopher Bishop
raina-akshay/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
raina-akshay/sigmedia.github.io
raina-akshay/sms-tools
Sound analysis/synthesis tools for music applications
raina-akshay/t81_558_deep_learning
Washington University (in St. Louis) Course T81-558: Applications of Deep Neural Networks
raina-akshay/the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
raina-akshay/traingenerator
🧙 A web app to generate template code for machine learning
raina-akshay/vipular.github.io
raina-akshay/Winter-School-On-Gravity-and-Light