theory of helix—— “熵减机理论（可用来构建信息熵减机、及自然演化熵减机系统等）”

Source code and checkpoints for legal pre-trained language models.

The source code of article "Distinguish Confusing Law Articles for Legal Judgment Prediction", ACL 2020

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

[NeurIPS 2020] This project provides a strong single-stage baseline for Long-Tailed Classification, Detection, and Instance Segmentation (LVIS). It is also a PyTorch implementation of the NeurIPS 2…

Pytorch🍊🍉 is delicious, just eat it! 😋😋

Tensorflow2.0 🍎🍊 is delicious, just eat it! 😋😋

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

PyTorch deep learning models for document classification

手把手撕LeetCode题目，扒各种算法套路的裤子。English version supported! Crack LeetCode, not only how, but also why.

中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

深度学习入门开源书，基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.

tensorflow2中文教程，持续更新(当前版本:tensorflow2.0)，tag: tensorflow 2.0 tutorials

Code for our NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"

A collection of various deep learning architectures, models, and tips

Pytorch version of model in NeurIPS'19 paper "Learning Deep Bilinear Transformation for Fine-grained Image Representation"

使用Bert，ERNIE，进行中文文本分类

pytorch implementation of multi-label text classification, includes kinds of models and pretrained. Especially for Chinese preprocessing.

深度学习与PyTorch入门实战视频教程 配套源代码和PPT

A Capsule Implement with Pure Keras

keras implement of dgcnn for reading comprehension