Fine-tuned the pre-trained BERT model on the IMDB movie reviews dataset for sentiment analysis.

fine-tune LLaMA and BERT using the PEFT (Parameter-Efficient Fine-Tuning) method and LoRA (Low-Rank Adaptation) in Python.

Training and fine-tuning flan-t5-small model based on provided text

Geometric Parametrization GmP-Inf-CLIP modification of: "Breaking the Memory Barrier: Near Infinite Batch Size Scaling for Contrastive Loss". A super memory-efficiency CLIP training scheme.

A wrapper library for LeapAI's APIs to make integrating AI into your .NET apps a breeze

Fine tuning LLaMA with LoRA

Speak the best with your models!

A library that leverages pre-trained BERT models for multilingual text classification (French, German, English, Luxembourgish) with fine-tuning capabilities.

Mistral model inference and fine-tune

A Novel Approach for Alzheimer's Classification Utilizing Ensemble Learning on Pre-trained Neural Networks Fine-tuned on Pre-processed and Augmented Alzheimer's Dataset

Flan-t5 model fine tune LoRA and Langchain

This repository features a fine-tuned Whisper model for accurate and efficient audio transcription. Designed to handle various languages, the model processes audio files and provides real-time transcriptions.

ML LEARNING

This application aims to classify real life photos of a cube game using deep learning algorithms based on a fine-tuned ResNet50. The script is deployed and accessible through a REST-ful web service.

A repository consists of incremental learning algorithm such as LwF and iCaRL on CIFAR100 dataset on ResNet architecture.

Text Classfication using BERT

Training an InceptionV3-based image classifier with your own dataset

fine tuning, reimagined. welcome to tuna 🎣 - we're simplifying cloud compute architecture, datasets, and more, to get your specialized AI from 0->100 asap

Materials for CSE Summer School Hackathon 2024

[Bachelor Graduation Project] Use Xception model for face anti-spoofing