nsanghi
I am a life long learner. Apart from leading multiple successful ventures & doing angel investments, I also like to keep myself updated with latest trends in AI
Bangalore
Pinned Repositories
Adv-ml-Computer-vision
Coursera hosted course solutions for Computer vision - https://www.coursera.org/learn/deep-learning-in-computer-vision
Adv-ml-Practical_RL
Solutions to Coursera hosted course for RL https://www.coursera.org/learn/practical-rl
bayesian-methods-for-ml
My solutions to Coursera hosted Bayesian methods course. (https://www.coursera.org/learn/bayesian-methods-in-machine-learning)
coursera-intro-to-dl
Solutions to Introduction to Deep Learning - https://www.coursera.org/learn/intro-…
curated_reinforcement_learning_resources
drl-2ed
FCND-T1-P3-Controls-CPP
CPP version of udacity control a drone project
HSE-NLP-Coursera
Solution for https://www.coursera.org/learn/language-processing
Prompt-Engineering-Intro
This repository contains the python notebook to run all the code explained in the blog
umich_deeplearning_eecs498
My explorations of umich eecs498 assignments
nsanghi's Repositories
nsanghi/HSE-NLP-Coursera
Solution for https://www.coursera.org/learn/language-processing
nsanghi/Prompt-Engineering-Intro
This repository contains the python notebook to run all the code explained in the blog
nsanghi/umich_deeplearning_eecs498
My explorations of umich eecs498 assignments
nsanghi/curated_reinforcement_learning_resources
nsanghi/drl-2ed
nsanghi/annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
nsanghi/blogs-code
A PyTorch implementation of MADE(Masked Autoencoder for Distribution Estimate)
nsanghi/cs224n-stanford-deep-nlp
My solutions to Stanford's CS224N 2019 version of deep NLP course Assignments
nsanghi/cs224n-stanford-nlp-2021
nsanghi/cs224w-ml_with_graph
nsanghi/cs285_deeprl_ucb_solutions
My solutions of CS285 Deep RL (Deep Reinforcement Learning) University of California, Berkeley, UCB 2021
nsanghi/curated-rl-courses
Great Reinforcement Learning (RL) Resources
nsanghi/curated_machine_learning_links
nsanghi/deepul
nsanghi/flta-materials
The projects and the materials that accompany the Flutter Apprentice book
nsanghi/huggingface-community-events
Place where folks can contribute to 🤗 community events
nsanghi/ionic-camera-capture
Sample code for Capturing Camera recordings and storing locally
nsanghi/learn2learn
A PyTorch Library for Meta-learning Research
nsanghi/ML-YouTube-Courses
A repository to index and organize the latest machine learning courses found on YouTube.
nsanghi/nsanghi.github.io
nsanghi/NYU-DLSP21-HW
nsanghi/openai_lib
Dart Package to wrap the openai apis
nsanghi/probml-notebooks
Notebooks for "Probabilistic Machine Learning" book
nsanghi/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
nsanghi/react-native-camera-capture-poc
Sample app based on https://github.com/react-native-community/react-native-camera/tree/master/examples/advanced
nsanghi/rl_for_budget_constrained_recs
nsanghi/shop_app
Flutter app - code along with udemy course
nsanghi/simple-node-js-react-npm-app
For an introductory tutorial on how to use Jenkins to build a simple Node.js and React application with npm.
nsanghi/stockML
nsanghi/test