This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess finan…

What is sez on the tinn

Kolmogorov Arnold Networks

A large-scale information-rich web dataset, featuring millions of real clicked query-document labels

Create Videos with Code

An Autogen-based Multi-LLM System capable of answering research related questions on ACL 2023 Articles to identify gaps and limitations

This is the code artifact of the paper "A Public and Reproducible Assessment of the Topics API on Real Data"

TAP: An automated jailbreaking method for black-box LLMs

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

Operational Neural Networks (ONNs), which can be heterogeneous and encapsulate neurons with any set of operators to boost diversity and to learn highly complex and multi-modal functions or spaces w…

ManimML is a project focused on providing animations and visualizations of common machine learning concepts with the Manim Community Library.

ChaiWithPy - the technical blog with a dash of tea

Must-read Papers on Legal Intelligence

AdaptKeyBERT extended keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation

Attribute-Identity Encryption System for #maskUp

AdaptKeyBERT: keyword/keyphrase extraction with zero-shot and few-shot semi-supervised domain adaptation

Integrating Explainable AI with Fake News Detection Classifier

EGGGS-C: Extracting text gradients from Hugging face Transformers

Resumes generated using the GitHub informations

Privacy-Preserving Data Analysis using Pandas

A full-stack application for the MIT-DBS-LAB-PROJECT-2021(OCT). Developed an entire application from the front end to the back end and the code connecting it to an SQL database system.

Federated Neural Collaborative Filtering (FedNCF). Neural Collaborative Filtering utilizes the flexibility, complexity, and non-linearity of Neural Network to build a recommender system. Aim to fed…

SafeInNet

Creating a Differential Privacy securing Synthetic Data Generation for tabular, relational and time series data.

An implementation of FedPAQ using different experimental parameters. We will be looking at different variations of how, r(number of clients to be selected), t (local epochs) and s (Quantizer levels))

DP-HyperparamTuning offers an array of tools for fast and easy hypertuning of various hyperparameters for the DP-SGD algorithm.