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-lora-llm

Train your custom LLMs like Llama, baichuan-7b, GPT

-qq-

-vpn

极光官方版本下载页 翻墙 代理 科学上网 外网 加速器 梯子 路由

3d-

人脸眨眼转头动嘴

ai-writer

AI 写小说，生成玄幻和言情网文等等。中文预训练生成模型。采用我的 RWKV 模型，类似 GPT-2 。Tuned GPT for novel generation.

apriori

Python Implementation of Apriori Algorithm for finding Frequent sets and Association Rules

automata-from-regex

A python program to build nfa, dfa and minimised DFA from given regular expression. Uses Tkinter for GUI and GraphViz for graphs.

automata-tools

Tools to build automata from your custom rule

awesome-pytorch-list-cnversion

Awesome-pytorch-list 翻译工作进行中......

awesome-spider

爬虫集合

braintest

brainTest

caj2pdf

Convert CAJ (China Academic Journals) files to PDF. 转换**知网 CAJ 格式文献为 PDF。佛系转换，成功与否，皆是玄学。

chineseocr_lite

超轻量级中文ocr，支持竖排文字识别, 支持ncnn、mnn、tnn推理 ( dbnet(1.8M) + crnn(2.5M) + anglenet(378KB)) 总模型仅4.7M

cjc

《计算新闻传播学》课程

cnn_captcha

use cnn recognize captcha by tensorflow. 本项目针对字符型图片验证码，使用tensorflow实现卷积神经网络，进行验证码识别。

crawler-analysis

爬虫+数据分析实战项目

crnn.caffe

crnn.caffe

ctr_prediction

CTR prediction using FM FFM and DeepFM

cv_note

记录cv算法工程师的成长之路，分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/

deep-learning

:computer:深度学习实战：实战教程、手写数字识别、Discuz验证码识别

deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-with-pytorch-tutorials

深度学习与PyTorch入门实战视频教程

deeprltricks

Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)

dialog-system-with-task-retrieval-and-seq2seq

「2018 JDDC」 京东/淘宝客服对话系统

diffusion-models-pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

diffusion-tools

Python based gui for Stable Diffusion images and animations

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

dlwpt-code

Code for the book Deep Learning with PyTorch by Eli Stevens and Luca Antiga.

easy-rl

强化学习中文教程（蘑菇书），在线阅读地址：https://datawhalechina.github.io/easy-rl/