gjerry22

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

awesome-chatgpt-prompts

This repo includes ChatGPT prompt curation to use ChatGPT better.

ChatGPT

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

bert

TensorFlow code and pre-trained models for BERT

fastText

Library for fast text representation and classification.

CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

eladmin

eladmin jpa 版本：项目基于 Spring Boot 2.6.4、 Jpa、 Spring Security、Redis、Vue的前后端分离的后台管理系统，项目采用分模块开发方式， 权限控制采用 RBAC，支持数据字典与数据权限管理，支持一键生成前后端代码，支持动态路由

GloVe

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Road2Coding

编程之路

Spring-Cloud-Platform

🔥🔥🔥国内首个Spring Cloud微服务化RBAC的管理平台，核心采用Spring Boot 2.4、Spring Cloud 2020.0.0 & Alibaba，前端采用d2-admin中台框架。 🔝 🔝 记得上边点个star 关注更新

BERT-pytorch

Google AI 2018 BERT pytorch implementation

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

xzs

在线考试系统

jshERP

管伊佳ERP（原名华夏ERP）基于SpringBoot框架和SaaS模式，立志为中小企业提供开源好用的ERP软件，目前专注进销存+财务功能。主要模块有零售管理、采购管理、销售管理、仓库管理、财务管理、报表查询、系统管理等。支持预付款、收入支出、仓库调拨、组装拆卸、订单等特色功能。拥有库存状况、出入库统计等报表。同时对角色和权限进行了细致全面控制，精确到每个按钮和菜单。

PassJava-Platform

一款面试刷题的 Spring Cloud 开源系统。零碎时间利用小程序查看常见面试题，夯实Java基础。 该项目可以教会你如何搭建SpringBoot项目，Spring Cloud项目。 采用流行的技术，如 SpringBoot、MyBatis、Redis、 MySql、 MongoDB、 RabbitMQ、Elasticsearch，采用Docker容器化部署。

temporal-shift-module

[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding

VideoX

VideoX: a collection of video cross-modal models

CLIP4Clip

An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"

kinetics-dataset

My-Blog-layui

layui 版本的 My-Blog : A simple & beautiful blogging system implemented with spring-boot & layui & thymeleaf & mybatis My Blog 是由 SpringBoot + Layui + Mybatis + Thymeleaf 等技术实现的 Java 博客系统，页面美观、功能齐全、部署简单及完善的代码，一定会给使用者无与伦比的体验

CADA-VAE-PyTorch

Official implementation of the paper "Generalized Zero- and Few-Shot Learning via Aligned Variational Autoencoders" (CVPR 2019)

temporal-adaptive-module

TAM: Temporal Adaptive Module for Video Recognition

am3

Adaptive Cross-Modal Few-shot learning OSS code. This is a ServiceNow Research project that was started at Element AI.

behappy-hospital

尚医通(微服务项目学习-改)

CLIP-FSAR

Code for our IJCV 2023 paper "CLIP-guided Prototype Modulating for Few-shot Action Recognition".

MoLo

Code for our CVPR 2023 paper "MoLo: Motion-augmented Long-short Contrastive Learning for Few-shot Action Recognition".

HyRSM

Code for our CVPR 2022 Paper "Hybrid Relation Guided Set Matching for Few-shot Action Recognition".

CLIP-video-search

demo natural language db using CLIP

Sampler

Task-adaptive Spatial-Temporal Video Sampler for Few-shot Action Recognition

arn_mindspore