mohamedbakhet

收集 CVPR 最新的成果，包括论文、代码和demo视频等，欢迎大家推荐！Collect the latest CVPR (Conference on Computer Vision and Pattern Recognition) results, including papers, code, and demo videos, etc., and welcome recommendations from everyone!

Apache-2.0122900

rafah-support

An AI Digital Assistant Extension for Helping Customer Support Agents

Language:HTMLApache-2.01300

Question-Answering

Python-based question answering system that utilizes pretrained BERTbased models from Hugging Face's transformers library.

Language:Jupyter Notebook1700

vehicle_make_model_classifier

Classifies 574 vehicle make-models using a ResNet50 architecture and YOLOv5

Language:Jupyter Notebook1200

Awesome-AI-Data-GitHub-Repos

A collection of the most important Github repos for ML, AI & Data science practitioners

MIT64100

Microservices-architecture-using-Docker-for-Image-classification-with-CNN

This project develops a solution that can automatically classify images into over 1000 different categories using a Convolutional Neural Network (CNN) implemented in Tensorflow. Our solution consists of a Web UI and a Python Flask API that serves the CNN. The Web UI allows users to upload an image and receive the predicted class for that image.

Language:Python400

Arabic-Letter-Recognition-and-Pronunciation-Evaluation

700

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

Language:PythonApache-2.0815200

rasa

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

Language:PythonApache-2.01837200

marktext

📝A simple and elegant markdown editor, available for Linux, macOS and Windows.

Language:JavaScriptMIT4579000

AIQC

End-to-end deep learning on your desktop or server.

Language:PythonBSD-3-Clause10400

rembg

Rembg is a tool to remove images background

Language:PythonMIT1564100

End-to-EndSpeechTranslationofContemporaryEgyptianArabicDialect1

This project takes Egyptian audio or recordings, sends them to our model on the hugging face web, and returns the translation as English text in 38.683963775634766-mile seconds.

300