peymanbateni

AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

stablediffusion

High-Resolution Image Synthesis with Latent Diffusion Models

llama

Inference code for Llama models

mm-cot

Official implementation for "Multimodal Chain-of-Thought Reasoning in Language Models" (stay tuned and more will be updated)

cuppa_consumer_app

a-plus-expert

Source code for the A+ Expert dashboard and client management service.

MetaPhys

MetaPhys: Few-Shot Adaptation for Non-Contact Physiological Measurement (ACM CHIL-2021)

ARVideoKit

Capture & record ARKit videos 📹, photos 🌄, Live Photos 🎇, and GIFs 🎆.

simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (Neural Networks 2022 - in submission)

PhysFormer

PhysFormer CVPR2022

multimodal-emotion-analysis-in-conversations

Multi-model analysis of sentiment and emotion in multi-speaker conversations.

sequential-monte-carlo

Code for a python based implementation of a FOPPL SMC sampler.

cnaps

Code for: "Fast and Flexible Multi-Task Classification Using Conditional Neural Adaptive Processes" and "TaskNorm: Rethinking Batch Normalization for Meta-Learning"

neural-sentimental-visual-captioning

Evaluating multiple novel approaches for adjective use in image captioning.

coherence-rst

Source code for “Neural RST-based Evaluation of Discourse Coherence” (AACL-IJCNLP 2020)

mit-deep-learning-book-pdf

MIT Deep Learning Book in PDF format (complete and parts) by Ian Goodfellow, Yoshua Bengio and Aaron Courville

simple-cnaps

Source codes for "Improved Few-Shot Visual Classification" (CVPR 2020), "Enhancing Few-Shot Image Classification with Unlabelled Examples" (WACV 2022), and "Beyond Simple Meta-Learning: Multi-Purpose Models for Multi-Domain, Active and Continual Few-Shot Learning" (SSRN Electronic Journal)