NehaSontakk's Stars
prakhar1989/awesome-courses
:books: List of awesome university courses for learning Computer Science!
nashory/gans-awesome-applications
Curated list of awesome GAN applications and demo
dennybritz/deeplearning-papernotes
Summaries and notes on Deep Learning research papers
NTMC-Community/MatchZoo
Facilitating the design, comparison and sharing of deep text matching models.
nushackers/notes-to-cs-freshmen-from-the-future
Notes to (NUS) Computer Science Freshmen, From The Future (Original by @ejamesc)
pbiecek/xai_resources
Interesting resources related to XAI (Explainable Artificial Intelligence)
dssg/aequitas
Bias Auditing & Fair ML Toolkit
jphall663/interpretable_machine_learning_with_python
Examples of techniques for training interpretable ML models, explaining ML models, and debugging ML models for accuracy, discrimination, and security.
adebayoj/fairml
colah/Conv-Nets-Series
A series of blog posts on convolutional neural networks and their generalizations.
mchablani/deep-learning
Repo for the Deep Learning Nanodegree Foundations program.
colah/Visualizing-Deep-Learning
A series of blog posts on visualizing deep learning.
sanjanakrishnan/covid-19-risk-dashboard
The COVID Risk dashboard looks at data to understand hyper-local risk due to COVID-19 on Pune city and supplements it with narratives from doctors. It combines COVID hazard, healthcare infrastructure capacity, population vulnerabilities, and expert narratives to arrive at a multidimensional risk assessment for Pune city.
NehaSontakk/Machine-Learning-from-Scratch
The goal is to understand machine learning algorithms in depth.