antgr's repositories
Linux-System-Monitoring-Library
lightweight c++ only linux monitoring library
18337
18.337 - Parallel Computing and Scientific Machine Learning
AA222FinalProject
Final Project for AA 222: Engineering Design Optimization: Multi-Objective Optimization for Sizing and Control of Microgrid Energy Storage
algforopt-notebooks
Jupyter notebooks associated with the Algorithms for Optimization textbook
algorithms-sedgewick-wayne
Solutions to all the exercises of the Algorithms book by Robert Sedgewick and Kevin Wayne
alphafold
Open source code for AlphaFold.
BayesianInferencePyMC
Workshop on Bayesian inference using PyMC
C-Plus-Plus
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
covid-19
A collection of work related to COVID-19
Cpp20
This is the code repository for my book "C++20 - Get the Details"
cs101
Apprentice level course admin repo
dataHacker
code for dataHacker blog
Dive-into-DL-PyTorch
本项目将《动手ĺ¦ć·±ĺş¦ĺ¦äą 》(Dive into Deep Learning)原书ä¸çš„MXNet实现改为PyTorch实现。
forecasting
Time Series Forecasting Best Practices & Examples
Forecasting-Time-Series-Data-with-Facebook-Prophet
Forecasting Time-Series Data with Facebook Prophet, published by Packt
google-research
Google Research
jpor_codes
Codes for the book "Julia Programming for Operations Research"
ML-From-Scratch
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.
Natural-Language-Processing-Specialization
This repo contains my coursework, assignments, and Slides for Natural Language Processing Specialization by deeplearning.ai on Coursera
numpy-100
100 numpy exercises (with solutions)
pyprobml
Python code for "Machine learning: a probabilistic perspective" (2nd edition)
Python
All Algorithms implemented in Python
pytorch-image-classification
Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.
resources
PyMC3 educational resources
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
VMLS-Companions
*This is a companion to the companion for: "Introduction to Applied Linear Algebra" by Boyd and Vandenberghe.