jaydass Goto Github PK

adamw_keras

AdamW optimizer for Keras

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-long-tail-learning

awesome-transformer-attention

An ultimately comprehensive paper list of Vision Transformer/Attention, including papers, codes, and related websites

bankclassify

Simple example of using a Naive Bayesian classification to classify entries in bank statements

banking-class

Parse and categorize banking transactions

bertmap

BERTMap: A BERT-Based Ontology Alignment System

bertopic_evaluation

Code and experiments for *BERTopic: Neural topic modeling with a class-based TF-IDF procedure*

bitcoin_analysis-

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.

blog

Files for my blog

cheatsheets

Official Matplotlib cheat sheets

colossalai

Making large AI models cheaper, faster and more accessible

corpg

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.

covid_news

datasciencecoursera

datasciencecoursera

datasharing

The Leek group guide to data sharing

deep-learning-in-production

In this repository, I will share some useful notes and references about deploying deep learning-based models in production.

dual-contrastive-learning

Code for our paper "Dual Contrastive Learning: Text Classification via Label-Aware Data Augmentation"

examples

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

getting-things-done-with-pytorch

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

Information Retrieval algorithms developed in python. To follow the blog posts, click on the link:

laser

Language-Agnostic SEntence Representations

machine-learning-in-law

This project explores the use of ML in the legal sector.

market_profile

medquad

Medical Question Answering Dataset of 47,457 QA pairs created from 12 NIH websites

ml-notebooks

:fire: A series of code examples for all sorts of machine learning tasks and applications.

my_streamlit_frontend

nixtla

Python SDK for TimeGPT

nlp_scripts

Contains notebooks related to various transformers based models for different nlp based tasks