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-sp-awake_system

SP(small programing) this is...

ai-learn

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

alicemind

ALIbaba's Collection of Encoder-decoders from MinD (Machine IntelligeNce of Damo) Lab

bert

TensorFlow code and pre-trained models for BERT

bert_chinese_classification

bilstm_crf_ner

buaa_course_sharing

北京航空航天大学(北航)课程作业资料共享计划

chatgpt_rl_blog3

All resources referenced in Solita chatGPR for RL blog part3

chinesenlpcorpus

搜集、整理、发布 中文 自然语言处理 语料/数据集，与 有志之士 共同 促进 中文 自然语言处理 的 发展。

classic-book

cluener2020

A PyTorch implementation of a BiLSTM\BERT\Roberta(+CRF) model for Named Entity Recognition.

contextual_augmentation

Contextual augmentation, a text data augmentation using a bidirectional language model.

csbook

cskaoyan

提供计算机考研和软件工程考研专业的各个学校 考研真题

cudf

cuDF - GPU DataFrame Library

dbhot

东北热项目...

deep_learning_cookbook

Deep Learning Cookbox

deeplearning-500-questions

深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系[email protected] 版权所有，违权必究 Tan 2018.06

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

docker-hadoop

Apache Hadoop docker image

dubhe_cassini

Repository to hold the code created for the Cassini challenge

eda-for-text-classification

使用EDA技术对小型的不均衡的数据集做增强，验证其效果提升

eda_nlp_for_chinese

An implement of the paper of EDA for Chinese corpus.中文语料的EDA数据增强工具。NLP数据增强。论文阅读笔记。

end-to-end-time-series

This repository hosts code for my Time Series videos part of playlist here - https://www.youtube.com/playlist?list=PL3N9eeOlCrP5cK0QRQxeJd6GrQvhAtpBK

fastllm

纯c++的全平台llm加速库，支持python调用，chatglm-6B级模型单卡可达10000+token / s，支持glm, llama, moss基座，手机端流畅运行

gan_shizhan

GAN实战

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gpt2-chinese

Chinese version of GPT2 training code, using BERT tokenizer.

gpt2-summary

基于GPT2的中文摘要生成模型

handson-ml2

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.