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ai_learning_materials

学习AI的必备资料

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

awesome-chinese-nlp

A curated list of resources for NLP (Natural Language Processing) for Chinese 中文自然语言处理相关资料

bert_in_keras

在Keras下微调Bert的一些例子；some examples of bert in keras

books

整理一些书籍 ~

chatllama

ChatLLaMA 📢 Open source implementation for LLaMA-based ChatGPT runnable in a single GPU. 15x faster training process than ChatGPT

chinese_nlp

Chinese Natural Language Processing tools and examples

chinese_nlp-1

cnn-text-classification-tf

Convolutional Neural Network for Text Classification in Tensorflow

compromise

natural language processing, in javascript

crfpp

CRF++: Yet Another CRF toolkit

dandelion

A quite light weight deep learning framework, on top of Theano, offering better balance between flexibility and abstraction

deep-learning-from-scratch

『ゼロから作る Deep Learning』のリポジトリ

deeplearning-muli-notes

Notes about courses Dive into Deep Learning by Mu Li

deeplearning.ai_jupyternotebooks

DeepLearning.ai课程学习Jupyter Notebook作业

dimshuffle

the experiment about how to use dimshuffle

dive-into-dl-tensorflow2.0

本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现，项目已得到李沐老师的认可

elmo-keras

Re-implementation of ELMo on Keras

huanhuan-chat

Chat-甄嬛是利用《甄嬛传》剧本中所有关于甄嬛的台词和语句，基于ChatGLM2进行LoRA微调得到的模仿甄嬛语气的聊天语言模型。

hydrogen-demo

Wechat app demo for hydrogen BaaS JS SDK

hydrogen-js-sdk

BaaS JS SDK

jieba

结巴中文分词

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

keras-monotonic-attention

seq2seq attention in keras

keras-self-attention

Attention mechanism for processing sequential data that considers the context for each timestamp.

keras-transformer

Keras library for building (Universal) Transformers, facilitating BERT and GPT models

keras-transformer-xl

Transformer-XL with checkpoint loader

law-gpt

中文法律对话语言模型

leam

mad

Code for "Online and Linear Time Attention by Enforcing Monotonic Alignments"