MohanadOdema

brevitas

Brevitas: neural network quantization in PyTorch

XRBench-MLSys2023

A version of XRBench-MAESTRO used for MLSys 2023 publication

llm.c

LLM training in simple, raw C/CUDA

neural-engine

Everything we actually know about the Apple Neural Engine (ANE)

gemma_pytorch

The official PyTorch implementation of Google's Gemma models

ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

Neural-Networks-on-Silicon

This is originally a collection of papers on neural network accelerators. Now it's more like my selection of research on deep learning and computer architecture.

awesome-machine-learning-in-compilers

Must read research papers and links to tools and datasets that are related to using machine learning for compilers and systems optimisation

x-heep

eXtendable Heterogeneous Energy-Efficient Platform based on RISC-V

Pytorch-UNet

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

chipyard

An Agile RISC-V SoC Design Framework with in-order cores, out-of-order cores, accelerators, and more

maestro

An analytical cost model evaluating DNN mappings (dataflows and tiling).

HADAS

HADAS: Hardware-aware Dynamic Neural Architecture Search for Performance Scaling (DATE 2023)

LG-FedAvg

[NeurIPS 2019 FL workshop] Federated Learning with Local and Global Representations

DenseNAS

Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)

privacy

Library for training machine learning models with privacy for training data

MetaD2A

Official PyTorch implementation of "Rapid Neural Architecture Search by Learning to Generate Graphs from Datasets" (ICLR 2021)

DNA

(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation

human-activity-recognition

Source code and data sets for online human activity recognition

head-network-distillation

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

metaqnn

neural-architecture-search

Basic implementation of [Neural Architecture Search with Reinforcement Learning](https://arxiv.org/abs/1611.01578).

riscv-cores-list

RISC-V Cores, SoC platforms and SoCs

dragonfly

An open source python library for scalable Bayesian optimisation.

AutoDL-Projects

Automated deep learning algorithms implemented in PyTorch.

darts

Differentiable architecture search for convolutional and recurrent networks