Amir 's Projects
Code and hyperparameters for the paper "Generative Adversarial Networks"
Config files for my GitHub profile.
My personal website where I share my toy projects with the world.
http://nlp.seas.harvard.edu/2018/04/03/attention.html
A comprehensive list of Deep Learning, Machine Learning and Artificial Intelligence tutorials - originally created by Donne Martin and will be expanded in areas of AI/Deep Learning / Machine Vision and industry specific areas such as Automotives, Retail, Pharma, Medicine, Healthcare by Tarry Singh until atleast 2020 until he finishes his Ph.D. (which might end up being inter-stellar cosmic networks! Who knows! š)
Bitcoin Core integration/staging tree
Code repository for Building Machine Learning Systems with Python Third Edition, by Packt
Caffe: a fast open framework for deep learning.
Track emissions from Compute and recommend ways to reduce their impact on the environment.
Site for the book "Conversational AI" (formerly titled "Creating Virtual Assistants", published through Manning.com
Stanford CoreNLP: A Java suite of core NLP tools.
We are building an open database of COVID-19 cases with chest X-ray or CT images.
Code examples from CSS In Depth
Build, train, deploy, scale and maintain deep learning models. Understand ML infrastructure and MLOps using hands-on examples.
Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data
Deep Learning Examples
Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.
Summaries and resources for Designing Machine Learning Systems book (Chip Huyen, O'Reilly 2022)
The source code from the third edition of Effective Java, with minor additions as necessary to make it runnable.
Mastering Ethereum, by Andreas M. Antonopoulos, Gavin Wood
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A curated list of practical financial machine learning (FinML) tools and applications in Python (by @firmai)
starter from "How to Train a GAN?" at NIPS2016
The authors official implementation of Unsupervised Discovery of Interpretable Directions in the GAN Latent Space
Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks
Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"
Hands On Natural Language Processing with Python, published by Packt
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Code for Hands-on Unsupervised Learning Using Python (O'Reilly Media)