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Introduction to Machine Learning Systems
An analytical cost model evaluating DNN mappings (dataflows and tiling).
A complete computer science study plan to become a software engineer.
Data is all you need: Finetuning LLMs for Chip Design via an Automated design-data augmentation framework (DAC 2024)
An open-source benchmark for generating design RTL with natural language
A new LLM solution for RTL code generation, achieving state-of-the-art performance in non-commercial solutions and outperforming GPT-3.5.
The imbalanced regression method DenseWeight produces sample weights for data points in regression tasks so that there is a higher emphasis on ML model performance for rare (and often extreme) data…
SMOGN: a Pre-processing Approach for Imbalanced Regression - LIDTA2017
SHAKTI Multiply-And-Accumulate Accelerator Network (SHAKTIMAAN), IITM's Deep Learning accelerator effort
An integrated power, area, and timing modeling framework for multicore and manycore architectures
The open-sourced version of BOOM-Explorer
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions
PANDA: Architecture-Level Power Evaluation by Unifying Analytical and Machine Learning Solutions
cesar-avalos3 / ece565-2023
Forked from thottethodi/ece565-2022A repo to assignment and project descriptions for ECE 565 in 2023
OpenSource GPU, in Verilog, loosely based on RISC-V ISA
List of awesome open source hardware tools, generators, and reusable designs
A curated awesome list of lists of interview questions. Feel free to contribute! 🎓
All Algorithms implemented in Python
A lightweight C library for artificial neural networks
Tools for working with circuits as graphs in python
Fast and modular sklearn replacement for generalized linear models