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The Expert Orchestrator AI: Dynamically Adapting, Budget-Aware, and Precisely Tailored to Your Needs
Exploring the potential of fine-tuning Large Language Models (LLMs) like Llama2 and StableLM for medical entity extraction. This project focuses on adapting these models using PEFT, Adapter V2, and…
Preswald is a WASM packager for Python-based interactive data apps: bundle full complex data workflows, particularly visualizations, into single files, runnable completely in-browser, using Pyodide…
Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk
A reading list on LLM based Synthetic Data Generation 🔥
CoDocBench is a dataset for code-documentation alignment in software maintenance. This repository contains the dataset, source code used to extract it, examples of using it, and some statistics abo…
A Structured Output Framework for LLM Outputs
Classical equations and diagrams in machine learning
Meditron is a suite of open-source medical Large Language Models (LLMs).
Train transformer language models with reinforcement learning.
Global-Scale Sustainable Blockchain Fabric
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
Interface built to use the Swapping Autoencoder model.
This is a project built for FALLABOUT2021 event under SRMMIC, This project deals with NLP poetry generation.
Real-Time Social Distance Monitoring tool using Computer Vision
Official submission to MIC FallBout 1.0: A virtual eye to help the visually impaired
This Repository Contains resources for the event organized in Microsoft Learn Student Ambassadors
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Simple demos of Color Histogram (Python).
Machine learning based project for prediction of fight price using Random Forest Regressor
Face_mask_detection using VGG19 CNN Architecture.
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
An implementation of the research paper "Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks".