Bayesian Reasoning And INtelligence (BRAIN)

Computing Facility

• Access to computing facilities such as NVIDIA DGX-1s,  DGX-2s with V100 GPUs and DGX - A100s, which are widely reputed AI supercomputers.  

• GPU servers based on NVIDIA P100s, A6000s, 3090s, 3080s, 2080Tis and Titan GPUs. 

• Tutorial on Continual Learning for Large Language Models : Foundations to Frontiers at the IJCNLP-AACL conference during December 2025. Please find details in this  webpage and the slides on the part, Continual Learning for LLMs, here. 

• Talk on Continual Learning at the  Winter Workshop on Machine Learning and Artificial Intelligence at IIT Kanpur during December 2025. Please find the slides here.  

• Slides for workshop on "Social and Information Networks Analysis: Problems, Models and Machine Learning Methods" are available here. 

• During Kerala floods, we used our expertise to extract information regarding need and availability of various resources. For further details, please visit here.

Code

• Code for Convolution Deep Gaussian Processes   :   https://github.com/brain-iith/Convolutional-Deep-Gaussian-Processes

• Code for Task and Language Incremental Continual Learning : https://github.com/ShreySatapara/TLCL