Stars
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Code Repository for The Kaggle Book, Published by Packt Publishing
Deep learning library for solving differential equations on top of PyTorch.
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
Code Replicability in Computer Graphics
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
This repository is a case study, analysis and visualization of COVID-19 Pandemic spread along with prediction models.
Notebooks and code for the book "Introduction to Machine Learning with Python"
Homepage for STAT 157 at UC Berkeley
《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
温州大学《机器学习》课程资料(代码、课件等)
Companion code for "Solving Nonlinear and High-Dimensional Partial Differential Equations via Deep Learning" by A. Al-Aradi, A. Correia, D. Naiff, G. Jardim and Y. Saporito (https://arxiv.org/abs/1…
C++ Library Manager for Windows, Linux, and MacOS
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。