max-yue

ppt_share

ppt share

Advanced-Deep-Learning-with-Keras

Advanced Deep Learning with Keras, published by Packt

AT4ChineseNER

Adversarial Transfer Learning for Chinese Named Entity Recognition with Self-Attention Mechanism

bert

TensorFlow code and pre-trained models for BERT

Bert-Multi-Label-Text-Classification

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

blogs

tech blogs

dgl

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

ent

An entity framework for Go

fast-bert

Super easy library for BERT based NLP models

gitignore

A collection of useful .gitignore templates

GraftNet

ipynb-py-convert

Convert .py files runnable in VSCode or Atom/Hydrogen to Jupyter .ipynb notebooks and vice versa

KnowledgeGraphData

史上最大规模1.4亿中文知识图谱开源下载

lm_report

language model report

max-yue.github.io

mtl

Unofficial implementation of: Multi-task learning using uncertainty to weigh losses for scene geometry and semantics

NeuralNLP-NeuralClassifier

An Open-source Neural Hierarchical Multi-label Text Classification Toolkit

nlp_resources

collect great nlp resources such as ppts or blogs

opencompass

OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, LLaMa2, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets.

preprocessing-for-word-representation

A Comprehensive Analysis of Preprocessing for Word Representation Learning in Affective Tasks

Python-100-Days

Python - 100天从新手到大师

pytorch_geometric

Geometric Deep Learning Extension Library for PyTorch

pytorch_tutorial

PyTorch Tutorial (1.3)

RMDL

RMDL: Random Multimodel Deep Learning for Classification

sentence-transformers

Sentence Embeddings with BERT & XLNet

Seq2Seq-Models

Basic Seq2Seq, Attention, CopyNet

sympy

A computer algebra system written in pure Python

TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

textgenrnn

Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

transformers

🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.