18.337 - Parallel Computing and Scientific Machine Learning
Final Project for AA 222: Engineering Design Optimization: Multi-Objective Optimization for Sizing and Control of Microgrid Energy Storage
Jupyter notebooks associated with the Algorithms for Optimization textbook
Solutions to all the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne
Open source code for AlphaFold.
Workshop on Bayesian inference using PyMC
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
A collection of work related to COVID-19
This is the code repository for my book "C++20 - Get the Details"
Apprentice level course admin repo
code for dataHacker blog
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Time Series Forecasting Best Practices & Examples
Forecasting Time-Series Data with Facebook Prophet, published by Packt
Codes for the book "Julia Programming for Operations Research"
Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
100 numpy exercises (with solutions)
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
All Algorithms implemented in Python
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
PyMC3 educational resources
A playbook for systematically maximizing the performance of deep learning models.
*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.