Aman Chadha's repositories
coursera-deep-learning-specialization
Notes, programming assignments and quizzes from all courses within the Coursera Deep Learning specialization offered by deeplearning.ai: (i) Neural Networks and Deep Learning; (ii) Improving Deep Neural Networks: Hyperparameter tuning, Regularization and Optimization; (iii) Structuring Machine Learning Projects; (iv) Convolutional Neural Networks; (v) Sequence Models
coursera-gan-specialization
Programming assignments and quizzes from all courses within the GANs specialization offered by deeplearning.ai
coursera-machine-learning-engineering-for-prod-mlops-specialization
Programming assignments and quizzes from all courses within the Machine Learning Engineering for Production (MLOps) specialization offered by deeplearning.ai
iSeeBetter
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
coursera-natural-language-processing-specialization
Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.
coursera-ai-for-medicine-specialization
Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai
stanford-cs231n-assignments-2020
This repository contains my solutions to the assignments for Stanford's CS231n "Convolutional Neural Networks for Visual Recognition" (Spring 2020).
stanford-cs224n-assignments-2021
This repository contains my solutions to the assignments for Stanford's CS224n "Natural Language Processing with Deep Learning" (Winter 2021).
Efficient_Python_tricks_and_tools_for_data_scientists
Efficient Python Tricks and Tools for Data Scientists
Data-science
Collection of useful data science topics along with code and articles
data-science-interviews
Data science interview questions and answers
Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow
Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron
applied-ml
📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.
awesome-full-stack-machine-courses
Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.
awesome-artificial-intelligence-guidelines
This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.
the-incredible-pytorch
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
leetcode-patterns
A curated list of leetcode questions grouped by their common patterns
ml-interviews-book
https://huyenchip.com/ml-interviews-book/
mle-for-production-mlops
Machine Learning Engineering for Production (MLOps) is an online non-credit specialization authorized by DeepLearning.AI and offered through Coursera
The-Engineering-Manager-Pandect
A comprehensive reference for all topics related to becoming a great Engineering Manager
amanchadha
README
approachingalmost
Approaching (Almost) Any Machine Learning Problem
awesome-vision-language-pretraining-papers
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
DSOnMacARM
My notes on how I created my Data Science environment on macOS ARM
word2vec_commented
Commented (but unaltered) version of original word2vec C implementation.