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Name: talentstars
Type: User
Name: talentstars
Type: User
A collection of pre-trained, state-of-the-art models in the ONNX format
NeMo: a toolkit for conversational AI
自然语言处理(nlp),小姜机器人(闲聊检索式chatbot),BERT句向量-相似度(Sentence Similarity),XLNET句向量-相似度(text xlnet embedding),文本分类(Text classification), 实体提取(ner,bert+bilstm+crf),数据增强(text augment, data enhance),同义句同义词生成,句子主干提取(mainpart),中文汉语短文本相似度,文本特征工程,keras-http-service调用
Object Detection using TF.js and React.js
Object detection in react using tf.js and coco model
it is an object detector in images or camera using python , opencv , frozen_inference_graph.pb and ssd_mobilenet_v3_large_coco_2020_01_14.pbtxt
An example of using the ONNX model for emotion recognition
Keras/Tensorflow Neural Network Conversion to ONNX and Inference with ONNX Runtime
Example scripts for the detection of lanes using the ultra fast lane detection model in ONNX.
Examples for using ONNX Runtime for model training.
PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice (『飞桨』核心框架,深度学习&机器学习高性能单机、分布式训练和跨平台部署)
👑 Easy-to-use and powerful NLP library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis and 🖼 Diffusion AIGC system etc.
Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)
Awesome Remote Sensing Toolkit based on PaddlePaddle.
Predicting S&P 500 Index price using ML
基于pytorch的bert_bilstm_crf中文命名实体识别
基于pytorch的ocr算法库,包括 psenet, pan, dbnet, sast , crnn
Step-By-Step Implementation of R-CNN from scratch in python
Web scraped S&P 500 Data from Wikipedia using Pandas and performed Exploratory Data Analysis on the data. Then used Yahoo Finance to get the related stock data and displayed them in the form of charts.
1st place solution to the Satellite Remote Sensing Image Change Detection Challenge hosted by SenseTime
This is a nlp project about sentiment analysis using bert and including the dataset
Python repository that uses time-series data from the S&P 500 to train a RandomForestClassifier to predict the probability of a stock price increasing or decreasing. This script is meant for educational purposes only - this is not financial advice. Consult with your financial adviser before making any investments.
This project aims to predict the price of S&P 500 stocks using Machine Learning.
Stock price prediction using LSTM and 1D Convoltional Layer implemented in keras with TF backend on daily closing price of S&P 500 data from Jan 2000 to Aug 2016
Stock Price Prediction Of S&P 500 Stocks Using Machine Learning
Tensorflow-Keras based Real-time Object detection
Realtime TensorFlow.js + WebGL visualization apps. 3D Hand pose estimation, 3D Human pose estimation, Face swap, Depth estimation, Higher accuracy face detection.
A case study in betting on the S&P 500 using the Kelly criterion
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.