Aman Chadha

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-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

coursera-gan-specialization. Programming assignments and quizzes from all courses within the GANs 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).

FRVSR-GAN. A Novel Approach to Video Super-Resolution using Frame Recurrence and Generative Adversarial Networks | Python3 | PyTorch | OpenCV2 | GANs | CNNs

100-nlp-papers. 100 Must-Read NLP Papers

llm-course. Course on LLMs: Building Personalized Customer Chatbots •

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

software-RAID. Software RAID Manager | C | Supports RAID 0, 1, 4, 5 and 10 | Capable of normal mode operation (no failures), working with one failed disk and restoring normal mode with a new disk

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

command-line-interpreter. Unix Shell in C | Support for built-in commands, output redirection, parallel mode, batch mode, consecutive commands etc.

awesome-full-stack-machine-courses. Curated list of publicly accessible machine learning engineering courses from CalTech, Columbia, Berkeley, MIT, and Stanford.

applied-ml. 📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

aman-ai. iPython Notebooks for NumPy and Python Primers

120-DS-Interview-Questions. My Answer to 120 Data Science Interview Questions

regex-cheatsheet. RegEx Cheatsheet | Authored by Yours Truly

leetcode-patterns. A curated list of leetcode questions grouped by their common patterns

100-Days-Of-ML-Code. A day to day plan for this challenge. Covers both theoritical and practical aspects

the-incredible-pytorch. The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.

LeetCode-Solutions. :octocat: (Weekly Update) Python / Modern C++ Solutions of All 1643 LeetCode Problems

awesome-artificial-intelligence-guidelines. This repository aims to map the ecosystem of artificial intelligence guidelines, principles, codes of ethics, standards, regulation and beyond.

coursera_machine_learning_matlab_python. All the work done by me as a part of Coursera's Machine Learning Course + A Vectorized Python 🐍 implementation

Leetcode-1. 🎓Leetcode solutions in Python 📚

stanford-cs-229-machine-learning. VIP cheatsheets for Stanford's CS 229 Machine Learning

amanchadha. README

ml-interviews-book. https://huyenchip.com/ml-interviews-book/

cracking-the-coding-interview. Solutions to problems from "Cracking the Coding Interview 6E" by Gayle Laakmann McDowell

deeplearning-models. A collection of various deep learning architectures, models, and tips

multimodal-ml-reading-list. Reading list for research topics in multimodal machine learning

sotawhat. Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

LeetCode. My LeetCode solutions.

stanford-cs-230-deep-learning. VIP cheatsheets for Stanford's CS 230 Deep Learning

The-Engineering-Manager-Pandect. A comprehensive reference for all topics related to becoming a great Engineering Manager

mle-for-production-mlops. Machine Learning Engineering for Production (MLOps) is an online non-credit specialization authorized by DeepLearning.AI and offered through Coursera

Trending-Deep-Learning. Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

neural-net-from-scratch. Neural network from scratch implementing the XOR function

melody. Music Player | Python | TkInter | PyGame | Threading | Support for adding/removing songs from a playlist, forward/rewind tracks, mute/unmute functionality

cs224n. Solutions to CS224n: Natural Language Processing with Deep Learning assignments.

approachingalmost. Approaching (Almost) Any Machine Learning Problem

the-art-of-command-line. Master the command line, in one page

miniforge. A conda-forge distribution.

word2vec_commented. Commented (but unaltered) version of original word2vec C implementation.

CS224n-winter-together. an Open Course Platform for Stanford CS224n (2020 Winter)

DSOnMacARM. My notes on how I created my Data Science environment on macOS ARM

jalammar.github.io. Build a Jekyll blog in minutes, without touching the command line.

singlestore-spaces-notebooks. Collection of notebooks for use with SingleStoreDB

awesome-ai-infrastructures. Infrastructures™ for Machine Learning Training/Inference in Production.

NLP-papernotes. Summaries and notes on research papers on NLP

Sortings-in-different-Languages. This repository contains sortings in different languages