dogrush's Stars
FedML-AI/FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
graphdeeplearning/benchmarking-gnns
Repository for benchmarking graph neural networks
merrymercy/awesome-tensor-compilers
A list of awesome compiler projects and papers for tensor computation and deep learning.
D-X-Y/Awesome-AutoDL
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis)
microsoft/Graphormer
Graphormer is a general-purpose deep learning backbone for molecular modeling.
ARM-software/ML-KWS-for-MCU
Keyword spotting on Arm Cortex-M Microcontrollers
jonaschn/awesome-he
✨ Awesome - A curated list of amazing Homomorphic Encryption libraries, software and resources
lava-nc/lava
A Software Framework for Neuromorphic Computing
stratosphereips/awesome-ml-privacy-attacks
An awesome list of papers on privacy attacks against machine learning
ai-techsystems/deepC
vendor independent TinyML deep learning library, compiler and inference framework microcomputers and micro-controllers
P2333/Papers-of-Robust-ML
Related papers for robust machine learning
cedrickchee/awesome-ml-model-compression
Awesome machine learning model compression research papers, quantization, tools, and learning material.
microsoft/nn-Meter
A DNN inference latency prediction toolkit for accurately modeling and predicting the latency on diverse edge devices.
cornell-zhang/heterocl
HeteroCL: A Multi-Paradigm Programming Infrastructure for Software-Defined Heterogeneous Computing
kylemath/DeepEEG
Deep Learning with Tensor Flow for EEG MNE Epoch Objects
FedML-AI/FedGraphNN
FedGraphNN: A Federated Learning Platform for Graph Neural Networks with MLOps Support. The previous research version is accepted to ICLR'2021 - DPML and MLSys'21 - GNNSys workshops.
ChanChiChoi/awesome-model-compression
papers about model compression
BUAA-CI-LAB/Literatures-on-Homomorphic-Encryption
A reading list for homomorphic encryption
dgSPARSE/dgSPARSE-Lib
PyTorch-Based Fast and Efficient Processing for Various Machine Learning Applications with Diverse Sparsity
intel/hexl-fpga
Intel Homomorphic Encryption Acceleration Library for FPGAs, including open source implementation of FPGA kernels for accelerating NTT, INTT, Keyswitch and Dyadic Multiplication modular arithmetic operations, FPGA runtime, and host APIs for connecting to third-party homomorphic encryption libraries.
MarbleHE/SoK
Repository for the SoK paper on Fully Homomorphic Encryption (FHE) compilers.
amazon-science/FeatGraph
MarbleHE/HECO
Optimizing compiler for Fully Homomorphic Encryption (FHE)
chaoyanghe/FedNAS
FedNAS: Federated Deep Learning via Neural Architecture Search
horizon-research/CamJ
CamJ: an energy modeling and system-level exploration framework for in-sensor visual computing
natu4u/GSOC_TensorCore
TensorCore Vector Processor for Deep Learning - Google Summer of Code Project
BUAA-CI-LAB/GNN-Feature-Decomposition
Using Feature Decomposition method to accelerate GNN inference
BUAA-CI-LAB/S2EngineSimulator
Simulator for S2Engine architucture , a CNN accelerator
BUAA-CI-LAB/S2EngineCompiler
Compiler for S2Engine architecure , an CNN accelerator
BUAA-CI-LAB/FedSkel
FedSkel: Efficient Federated Learning on Heterogeneous Systems with Skeleton Gradients Update [CIKM'21]