Jason Eshraghian's starred repositories
rag-state-soups
Using state soups for RAG with SSMs like Mamba. Part of the L&T topic area at Telluride 2024.
riscv-v-spec
Working draft of the proposed RISC-V V vector extension
neuromorphic-systems-for-space
Repository for the 2024 Telluride Topic Area Neuromorphic Systems for Space
matmulfreellm
Implementation for MatMul-free LM.
llm-course
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
torch2chip
Torch2Chip (MLSys, 2024)
z80-open-silicon
Z80 open-source silicon clone. Goal is to become a silicon proven, pin compatible, open-source replacement for classic Z80.
18224-s23-tapeout
Build infrastructure for class-wide tapeout for 18-224/624 Intro to Open Source Chip Design, Spring 2023
HENKES_SNN
Code of the publication "Spiking neural networks for nonlinear regression" published in https://doi.org/10.1098/rsos.231606 by Alexander Henkes from ETH Zürich, Jason K. Eshraghian from University of California, Santa Cruz and Henning Wessels from TU Braunschweig.
reinforcement-learning
Repository of notes, code and notebooks in Python for the book "Reinforcement Learning: An Introduction" by Richard S. Sutton and Andrew G. Barto
LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
chronos-forecasting
Chronos: Pretrained (Language) Models for Probabilistic Time Series Forecasting
invicta-2024
Official repository of the INVICTA Spring School 2024.
hdl-modules
A collection of reusable, high-quality, peer-reviewed VHDL building blocks.
fpga-snntorch
Notebooks and code for Neuromorphic Hardware Workshop at ISFPGA 2024.
A-Primer-For-Physical-Design-Automation
This repository contains python code snippets that implement several algorithms for automating the VLSI Physical Design process. This is based on the learnings from the course - EE5333W (Introduction to Physical Design Automation) at IITM.