hodacquan99 Goto Github PK

100-days-of-ml-code

100 Days of ML Coding

applied-deep-learning

Applied Deep Learning

backprop

Backpropagation in Python, C++, and Cuda

basicmachinelearning

beginners-c-program-examples

Simple, Short and Sweet beginners friendly C language programs

bml

c-programming-examples

Some examples of C programs.

colab_git_template

complete-python-course

A repository of code from my Complete Python Course on Udemy.

computer_vision_ml

cs231n

stanford cs231n 2016 assignment

d2l-pytorch

This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.

deeplearningtutorial

Tutorial on a number of topics in Deep Learning

deepxde

A library for scientific machine learning and physics-informed learning

elm_ad

hp-vpinns

hp-VPINNs: variational physics-informed neural network with domain decomposition is a general framework to solve differential equations

https-github.com-wiseodd-probabilistic-models

imageprocessing

ltc-for-handwashing-classify

Using handwashing dataset for assess LTC

medium_articles

This repository will contain the code associated to the scripts I've been writing in my medium articles

ml

ml-algo-implementation

model-finance-data

Financial Data Preprocessing

nn_for_differential_equations

Code for solving differential equations using neural networks

numeric-python

Covers a variety of computational topics including integration, differential equations, statistical analysis and signal processing.

pdesbynns

This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.

pinn-pytorch

Deep learning library for solving differential equations on top of PyTorch.

pinn_burgers

Physics Informed Neural Network (PINN) for Burgers' equation.

pinns

Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations

probabilityforcomputerscientists