bisoisk

60daysOfCodeUdacityChallenge-S-P-AIChallenge

60days of code udacity private AI challenge

ABSADatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

atsc_prompts

Codes for the experiments in our EMNLP 2021 paper "Open Aspect Target Sentiment Classification with Natural Language Prompts"

courses

fast.ai Courses

data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

DLND-Your-First-Network-NanoDegree

Nanodegree project-1

HackerEarth-Machine-Learning-challenge-Adopt-a-buddy

A Machine Learning model that determines type and breed of the animal based on its physical attributes and other factors.

HackerEarth-Solution

Contains hackerearth solutions in python 3

kaggle-galaxies

Winning solution for the Galaxy Challenge on Kaggle (http://www.kaggle.com/c/galaxy-zoo-the-galaxy-challenge)

shap

A unified approach to explain the output of any machine learning model.

bisoisk/ABSADatasets

Public & Community-shared datasets for Aspect-based sentiment analysis and Text Classification

bisoisk/data-engineer-handbook

This is a repo with links to everything you'd ever want to learn about data engineering

bisoisk/PyABSA

Sentiment Analysis, Text Classification, Text Augmentation, Text Adversarial defense, etc.;

bisoisk/Aspect-Based-Sentiment-Analysis

bisoisk/azure-sample-chat

An easy Python example to chat with Azure OpenAI Service

bisoisk/bert_for_longer_texts

BERT classification model for processing texts longer than 512 tokens. Text is first divided into smaller chunks and after feeding them to BERT, intermediate results are pooled. The implementation allows fine-tuning.

bisoisk/data-engineering-dphi

bisoisk/data-engineering-zoomcamp

Free Data Engineering course!

bisoisk/domain-adapted-atsc

code for our 2019 paper: "Adapt or Get Left Behind: Domain Adaptation through BERT Language Model Finetuning for Aspect-Target Sentiment Classification"

bisoisk/End-to-End-Chest-Cancer-Classification-using-MLflow-DVC

bisoisk/energy-forecasting

🌀 𝗧𝗵𝗲 𝗙𝘂𝗹𝗹 𝗦𝘁𝗮𝗰𝗸 𝟳-𝗦𝘁𝗲𝗽𝘀 𝗠𝗟𝗢𝗽𝘀 𝗙𝗿𝗮𝗺𝗲𝘄𝗼𝗿𝗸 | 𝗟𝗲𝗮𝗿𝗻 𝗠𝗟𝗘 & 𝗠𝗟𝗢𝗽𝘀 for free by designing, building and deploying an end-to-end ML batch system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 2.5 𝘩𝘰𝘶𝘳𝘴 𝘰𝘧 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 & 𝘷𝘪𝘥𝘦𝘰 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

bisoisk/fastbook

The fastai book, published as Jupyter Notebooks

bisoisk/FinGPT

Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.

bisoisk/finnhub-python

Finnhub Python API Client. Finnhub API provides institutional-grade financial data to investors, fintech startups and investment firms. We support real-time stock price, global fundamentals, global ETFs holdings and alternative data. https://finnhub.io/docs/api

bisoisk/FinNLP

Democratizing Internet-scale financial data.

bisoisk/Google-Gemini-Crash-Course

bisoisk/hands-on-llms

🦖 𝗟𝗲𝗮𝗿𝗻 about 𝗟𝗟𝗠𝘀, 𝗟𝗟𝗠𝗢𝗽𝘀, and 𝘃𝗲𝗰𝘁𝗼𝗿 𝗗𝗕𝘀 for free by designing, training, and deploying a real-time financial advisor LLM system ~ 𝘴𝘰𝘶𝘳𝘤𝘦 𝘤𝘰𝘥𝘦 + 𝘷𝘪𝘥𝘦𝘰 & 𝘳𝘦𝘢𝘥𝘪𝘯𝘨 𝘮𝘢𝘵𝘦𝘳𝘪𝘢𝘭𝘴

bisoisk/Hands-on-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow

Notes & exercise solutions of Part I from the book: "Hands-On ML with Scikit-Learn, Keras & TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems" by Aurelien Geron

bisoisk/hopsworks-tutorials

Tutorials for the Hopsworks Platform

bisoisk/idefics2-contract-qa

bisoisk/mljar-supervised

Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation

bisoisk/MLOps

MLOps examples

bisoisk/mlops-v2

Azure MLOps (v2) solution accelerators. Enterprise ready templates to deploy your machine learning models on the Azure Platform.

bisoisk/MLOps_stock_prediction

First end-to-end MLOps attempt using github actions and AzureML CLI

bisoisk/MMT-ABSA

Source code of the paper: A Mutual Mean Teacher Framework for Cross-Domain Aspect-Based Sentiment Analysis

bisoisk/Multi-Label-Classification-of-Pubmed-Articles

Transfer learning utilizing BertForSequenceClassification model. Also tried RobertaForSequenceClassification and XLNetForSequenceClassification models for Fine-Tuning the Model.

bisoisk/NER-datasets

Datasets to train supervised classifiers for Named-Entity Recognition in different languages (Portuguese, German, Dutch, French, English)

bisoisk/pipelines-azureml

Example Azure Pipeline to train and deploy a machine learning model using the Azure Machine Learning service

bisoisk/Stock-Prediction

Technical and sentiment analysis to predict the stock market with machine learning models based on historical time series data and news article sentiment collected using APIs and web scraping.

bisoisk/Stock_prediction_with_News_Sentiment_Analysis

Predicting the price movement of stocks using past prices and sentiment analysis scores from financial News.