Pinned Repositories
-1LLM-finetuning
This repository provides code and resources for Parameter Efficient Fine-Tuning (PEFT), a technique for improving fine-tuning efficiency in natural language processing tasks.
BERT-Gender-Bias
NLP project examining BERT-based abstractive summarization model for gender bias using a lightweight word choice based approach.
best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
bias-bert
blind-recruiter
Remove human bias from the resume screening process
compare-embedding-bias
Use WEAT statistic to compare bias among word embeddings trained with different algorithms, from different sources, or after debiasing
data-centric-ai-4516168
This repo is for the Linkedin Learning course: Data Centric AI: Best Practices, Responsible AI and more
data_debias
Data Interventions for Reducing Gender Bias in Large Language Models
DocEE_viewer
gender-debias
Adaptation datasets and scripts for the paper "Reducing gender bias in Neural Machine Translation as a domain adaptation problem" (ACL 2020)
AnSwati's Repositories
AnSwati/-1LLM-finetuning
This repository provides code and resources for Parameter Efficient Fine-Tuning (PEFT), a technique for improving fine-tuning efficiency in natural language processing tasks.
AnSwati/BERT-Gender-Bias
NLP project examining BERT-based abstractive summarization model for gender bias using a lightweight word choice based approach.
AnSwati/best-of-ml-python
🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.
AnSwati/bias-bert
AnSwati/blind-recruiter
Remove human bias from the resume screening process
AnSwati/data-centric-ai-4516168
This repo is for the Linkedin Learning course: Data Centric AI: Best Practices, Responsible AI and more
AnSwati/data_debias
Data Interventions for Reducing Gender Bias in Large Language Models
AnSwati/DocEE_viewer
AnSwati/gender-debias
Adaptation datasets and scripts for the paper "Reducing gender bias in Neural Machine Translation as a domain adaptation problem" (ACL 2020)
AnSwati/GenderBias_corpus
AnSwati/Get-Things-Done-with-Prompt-Engineering-and-LangChain
LangChain & Prompt Engineering tutorials on Large Language Models (LLMs) such as ChatGPT with custom data. Jupyter notebooks on loading and indexing data, creating prompt templates, CSV agents, and using retrieval QA chains to query the custom data. Projects for using a private LLM (Llama 2) for chat with PDF files, tweets sentiment analysis.
AnSwati/gpt3_gender
Narrative Understanding Workshop paper (2021) on gender in GPT-3 generated stories
AnSwati/hindi-bert
Hindi NLP work
AnSwati/Hindi-to-English-NMT-Pytorch
This project aims at implementing a Neural Machine Translation model using the Pytorch to automate the translation of Hindi sentences into English.
AnSwati/large-language-models
Notebooks for Large Language Models (LLMs) Specialization
AnSwati/LLM-Finetuning
LLM Finetuning with peft
AnSwati/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
AnSwati/Mitigating-Gender-Bias-in-Generated-Text
Reproducing “Queens are Powerful too: Mitigating Gender Bias in Dialogue Generation” paper with extensions to the bias mitigation techniques.
AnSwati/Network-Analysis-Made-Simple
An introduction to network analysis and applied graph theory using Python and NetworkX
AnSwati/nlp-webinar-may-23
The notebook used in the Deepchecks NLP webinar May 23
AnSwati/nlp-workshop
Workshop developed for ML Prague (so it includes Czech examples)
AnSwati/NMT_Gender_Bias
AnSwati/personal
Contains Jupyter Notebooks of stuff I am working on.
AnSwati/Python-Projects
AnSwati/redditmentalhealth
AnSwati/Resume-Job-Description-Matching
sas
AnSwati/Resume_Job_Gender_Bias
AnSwati/SocHindi
AnSwati/Social-Biases-in-BERT-Variants-Across-Multiple-Languages
This project analyzes to what extent cultural similarities and differences influence various types of biases, and we aim to compare different biases reflected in the pre-trained BERT model trained on each language
AnSwati/trusted-ai
This is a project for testing AI bias detection and mitigation methods.