jaydass Goto Github PK
Type: User
Type: User
AdamW optimizer for Keras
A curated list of awesome computer vision resources
An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites
Simple example of using a Naive Bayesian classification to classify entries in bank statements
Parse and categorize banking transactions
BERTMap: A BERT-Based Ontology Alignment System
Code and experiments for *BERTopic: Neural topic modeling with a class-based TF-IDF procedure*
Python Bitcoin is widely used cryptocurrency for digital market. It is decentralised that means it is not own by government or any other company.Transactions are simple and easy as it doesn’t belong to any country.Records data are stored in Blockchain.Bitcoin price is variable and it is widely used so it is important to predict the price of it for making any investment.This project focuses on the accurate prediction of cryptocurrencies price using neural networks. We’re implementing a Long Short Term Memory (LSTM) model using keras; it’s a particular type of deep learning model that is well suited to time series data (or any data with temporal/spatial/structural order e.g. movies, sentences, etc.).We have used different activation function for analysing the efficiency of the system.Instead of historical data we are using live streaming data for better accuracy.
Files for my blog
Official Matplotlib cheat sheets
Making large AI models cheaper, faster and more accessible
Code for paper Document-Level Paraphrase Generation with Sentence Rewriting and Reordering by Zhe Lin, Yitao Cai and Xiaojun Wan. This paper is accepted by Findings of EMNLP'21.
datasciencecoursera
The Leek group guide to data sharing
In this repository, I will share some useful notes and references about deploying deep learning-based models in production.
Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.
Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:
Language-Agnostic SEntence Representations
This project explores the use of ML in the legal sector.
Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites
:fire: A series of code examples for all sorts of machine learning tasks and applications.
Python SDK for TimeGPT
Contains notebooks related to various transformers based models for different nlp based tasks
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.