The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

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。

深度学习入门教程, 优秀文章, Deep Learning Tutorial

Natural Language Processing Tutorial for Deep Learning Researchers

数据科学的笔记以及资料搜集

Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained

Data augmentation for NLP

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

Book_5_《统计至简》 | 鸢尾花书：从加减乘除到机器学习；上架！

Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)

Code for Stanford CS224u

Beyond Accuracy: Behavioral Testing of NLP models with CheckList

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Early stopping for PyTorch

code for deep learning courses

TruthfulQA: Measuring How Models Imitate Human Falsehoods

Training Sparse Autoencoders on Language Models

本项目对中文版《动手学深度学习》中的代码进行了PyTorch实现并整理为PDF版本供下载

DeltaPy - Tabular Data Augmentation (by @firmai)

Master in Data Science Final Project

Source Code for Machine Learning in Action for Python 3.X

"他山之石、可以攻玉"：复旦白泽智能发布面向国内开源和国外商用大模型的Demo数据集JADE-DB

Solutions to the problems in the book: Linear Algebra and Learning from Data by Gilbert Strang, MIT

Mechanistic Interpretability Visualizations using React

A dataset of 222 digital musical scores aligned with 1068 performances (more than 92 hours) of Western classical piano music.

Ranking and ordinal regression algorithms in Python