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active-passive-losses

[ICML2020] Normalized Loss Functions for Deep Learning with Noisy Labels

alpaca-lora

Instruct-tune LLaMA on consumer hardware

autoprompt

AutoPrompt: Automatic Prompt Construction for Masked Language Models.

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

baichuan-7b

A large-scale 7B pretraining language model developed by BaiChuan-Inc.

belle

BELLE: Be Everyone's Large Language model Engine（开源中文对话大模型）

bert-chinese-text-classification-pytorch

使用Bert，ERNIE，进行中文文本分类

bert-kpe

bert-textclassification

Implemention some Baseline Model upon Bert for Text Classification

blog-backend

个人网站后端，python flask框架开发。

c

Collection of various algorithms in mathematics, machine learning, computer science, physics, etc implemented in C for educational purposes.

c-c-

程序员相关电子书资料免费分享，欢迎关注个人微信公众号：程序员编程指南

c-project

C语言小项目,扫雷/三子棋/通讯录/注释转换

casee

Source code for ACL 2021 finding paper: CasEE: A Joint Learning Framework with Cascade Decoding for Overlapping Event Extraction

cc

chatglm-6b

ChatGLM-6B：开源双语对话语言模型 | An Open Bilingual Dialogue Language Model

chinese-llama-alpaca

中文LLaMA&Alpaca大语言模型+本地部署 (Chinese LLaMA & Alpaca LLMs)

chinese-vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案，结构参考alpaca

chinesetextualinference

ChineseTextualInference project including chinese corpus build and inferecence model, 中文文本推断项目,包括88万文本蕴含中文文本蕴含数据集的翻译与构建,基于深度学习的文本蕴含判定模型构建.

cogltx

The source code of NeurIPS 2020 paper "CogLTX: Applying BERT to Long Texts"

colossalai

Making large AI models cheaper, faster and more accessible

cosent_pytorch

CoSENT、STS、SentenceBERT

cppguide

C/C++学习，后端开发进阶指南。

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被60个国家的400所大学用于教学。

data-preparation

Code used for sourcing and cleaning the BigScience ROOTS corpus

day_by_day

decanlp

The Natural Language Decathlon: A Multitask Challenge for NLP

deepctr

deepie

DeepIE: Deep Learning for Information Extraction

deepspeed

DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.