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2021-daguan-cup

adala

Adala: Autonomous DAta (Labeling) Agent framework

ai-interview-cards

最完整的AI算法面试题目仓库，1000道，25个类目

ai-roadmap

ApacheCN AI 路线图（知识树）

ailearning

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

algorithms_engineer_interview

计算机视觉算法工程师实习生面试总结 （微软、阿里、商汤、海康、华为、平安offer）

allennlp

An open-source NLP research library, built on PyTorch.

andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

annotated_deep_learning_paper_implementations

🧑‍🏫 50! Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

awesome-chinese-llm

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

awesome-chinese-nlp

A curated list of resources for Chinese NLP 中文自然语言处理相关资料

awesome-deeplearning

深度学习入门课、资深课、特色课、学术案例、产业实践案例、深度学习知识百科及面试题库The course, case and knowledge of Deep Learning and AI

awesome-knowledge-graph

整理知识图谱相关学习资料

awesome-pretrained-chinese-nlp-models

Awesome Pretrained Chinese NLP Models，高质量中文预训练模型集合

awesome_chinese_medical_nlp

中文医学NLP公开资源整理：术语集/语料库/词向量/预训练模型/知识图谱/命名实体识别/QA/信息抽取/模型/论文/etc

baidu-2020-language-and-intelligent-technology-competition-relation-extraction-rank15

2020语言与智能技术竞赛：关系抽取任务

bert-based-multi-label-cls

基于Pytroch实现文本多标签分类（Implement multi-label classification of text based on Pytroch）

bert-loves-chemistry

bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.

casrel

A Novel Cascade Binary Tagging Framework for Relational Triple Extraction. Accepted by ACL 2020.

casrel-1

casrel-2

casrel-ch

casrel-torch

Chinese entity relationship extraction

casrel_pytorch

关系抽取 calrel pytorch

casrelpytorch

Reimplement CasRel model in PyTorch.使用PyTorch对吉林大学CasRel模型进行复现，并在百度关系抽取数据集上训练测试。

ccks_triple_extract

限定领域的三元组抽取的一次尝试，本文将会介绍笔者在2019语言与智能技术竞赛的三元组抽取比赛方面的一次尝试。

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

chatglm-finetuning

基于ChatGLM-6B模型，进行下游具体任务微调，涉及Freeze、Lora、P-tuning等

chatglm-tuning

一种平价的chatgpt实现方案, 基于ChatGLM-6B + LoRA

chatglm_finetuning

chatglm 6b finetuning and alpaca finetuning