🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

The Python programming language

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

TensorFlow code and pre-trained models for BERT

2023年最新总结，阿里，腾讯，百度，美团，头条等技术面试题目，以及答案，专家出题人分析汇总。

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

Never use print for debugging again

Machine learning, in numpy

Python package built to ease deep learning on graph, on top of existing DL frameworks.

A PyTorch implementation of the Transformer model in "Attention is All You Need".

all kinds of text classification models and more with deep learning

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Google AI 2018 BERT pytorch implementation

Graph Convolutional Networks in PyTorch

A collection of important graph embedding, classification and representation learning papers with implementations.

Papers on Computational Advertising

Models, data loaders and abstractions for language processing, powered by PyTorch

Classic papers and resources on recommendation

🐍 Complete C99 parser in pure Python

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

torch-optimizer -- collection of optimizers for Pytorch

Pytorch implementation of the Graph Attention Network model by Veličković et. al (2017, https://arxiv.org/abs/1710.10903)

Code for visualizing the loss landscape of neural nets

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

Elegant PyTorch implementation of paper Model-Agnostic Meta-Learning (MAML)

2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记，此外，还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的，其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。

Code for the ACL 2017 paper "Get To The Point: Summarization with Pointer-Generator Networks"

Reformer, the efficient Transformer, in Pytorch

Deep learning with dynamic computation graphs in TensorFlow

面试题