Vinod's Projects
A reinforcement learning toolkit for compiler optimizations
Practice codes for DAA course
Flight rules for git
Gate-Shift Networks for Video Action Recognition
[ACL 2020] HAT: Hardware-Aware Transformers for Efficient Natural Language Processing
Train ImageNet in 18 minutes on AWS
:pencil: Python / C++ 11 Solutions of All 468 LeetCode Questions
This is a collection of works on neural networks and neural accelerators.
NeuroVectorizer is a framework that uses deep reinforcement learning (RL) to predict optimal vectorization compiler pragmas for for loops in C and C++ codes.
[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment
[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware
This repository contains the codebase of Floating Point Unit used in different variants of the SHAKTI Processor effort
This archived codebase is a simple RISC-V Instruction Set Simulator designed to verify SHAKTI cores
[ICCV 2019] TSM: Temporal Shift Module for Efficient Video Understanding
Temporal Relation Networks
This is an archived repository of an older version of Vector Processor (based on Berkeley's Hwacha) designed at SHAKTI group IIT Madras