fang's repositories
AICIty-reID-2020
:red_car: The 1st Place Submission to AICity Challenge 2020 re-id track (Baidu-UTS submission)
Alpaca-CoT
We extend CoT data to Alpaca to boost its reasoning ability. We are constantly expanding our collection of instruction-tuning data. The instruction collection can be found at https://huggingface.co/datasets/QingyiSi/Alpaca-CoT/tree/main （我们将CoT数据扩展到Alpaca以提高其推理能力，同时我们将不断收集更多的instruction-tuning数据集。）
BELLE
BELLE: BE Large Language model Engine（开源中文对话大模型）
bert4keras
keras implement of transformers for humans
CDial-GPT-tf
用bert4keras加载CDial-GPT
ChatGLM-Tuning
一种平价的chatgpt实现方案, 基于ChatGLM-6B
Chatglm_lora_multi-gpu
chatglm多gpu用deepspeed和
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。
CoSENT
比Sentence-BERT更有效的句向量方案
CTCDecoder
Connectionist Temporal Classification (CTC) decoding algorithms: best path, beam search, lexicon search, prefix search, and token passing. Implemented in Python.
DecryptLogin
APIs for loginning some websites using requests.
detectron2
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
fast-reid
SOTA Re-identification Methods and Toolbox
FastChat
The release repo for "Vicuna: An Open Chatbot Impressing GPT-4"
FasterSeg
[ICLR 2020] "FasterSeg: Searching for Faster Real-time Semantic Segmentation" by Wuyang Chen, Xinyu Gong, Xianming Liu, Qian Zhang, Yuan Li, Zhangyang Wang
image-segmentation-keras
Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.
Keras-YOLOv4
yolov4 42.0% mAP.ppyolo 45.1% mAP.
Many-Translaters
谷歌翻译，360翻译，iCIBA翻译，有道翻译，免费API
pikachuwechat
PikachuWeChat: Play WeChat with itchat-uos.
pyunit-time
一个简单易用的 Python 模块，用于通过字符串来操作日期/时间。正则时间提取，字符串时间解析，字符串时间提取。中文时间提取，一句话里面提取时间
qichacha_spider
企查查爬虫
Recommender-System-with-TF2.0
Recurrence the recommender paper with Tensorflow2.0
roformer
Rotary Transformer
stable-diffusion-tensorflow
Stable Diffusion in TensorFlow / Keras
tkinter-dialog
Tkinterのdialogに関するコードです。
Vehicle_reID-Collection
:red_car: the collection of vehicle re-ID papers, datasets. :red_car:
vits
VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech
yolov4-tiny-tf2
这是一个YoloV4-tiny-tf2的源码，可以用于训练自己的模型。