KxuanZhang's Stars
WwZzz/easyFL
An experimental platform for federated learning.
omnia-unist/Miro
Miro[ACM MobiCom '23] Cost-effective On-device Continual Learning over Memory Hierarchy with Miro
snap-research/EfficientFormer
EfficientFormerV2 [ICCV 2023] & EfficientFormer [NeurIPs 2022]
xmu-xiaoma666/External-Attention-pytorch
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
pittisl/GreenTrainer
Code for paper "Towards Green AI in Fine-tuning Large Language Models via Adaptive Backpropagation" (ICLR'24)
Developer-Y/cs-video-courses
List of Computer Science courses with video lectures.
dair-ai/ML-YouTube-Courses
📺 Discover the latest machine learning / AI courses on YouTube.
chenzomi12/AISystem
AISystem 主要是指AI系统,包括AI芯片、AI编译器、AI推理和训练框架等AI全栈底层技术
mzchen0/UVeQFed
ggml-org/llama.cpp
LLM inference in C/C++
mzchen0/Wireless-FL
tata1661/FSL-Mate
FSL-Mate: A collection of resources for few-shot learning (FSL).
TF2-Engine/TF2
An Open Source Deep Learning Inference Engine Based on FPGA
KxuanZhang/ChemicalProductKnowledgeGraph
joergsimon/SSL-ECG-Paper-Reimplementaton
Reimplementation of the paper Sarkar and Etemad 2020 "Self-Supervised ECG Representation Learning for Emotion Recognition"
pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
dilinwang820/fast-energy-aware-splitting
Energy-Aware Neural Architecture Optimization with Fast Splitting Steepest Descent
mmTransGes/mTransSee_Dataset
weimingwill/EasyFL
An easy-to-use federated learning platform
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
alibaba/FederatedScope
An easy-to-use federated learning platform
wyharveychen/CloserLookFewShot
source code to ICLR'19, 'A Closer Look at Few-shot Classification'
microsoft/nni
An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.
liyxi/mnist-m
The MNIST-M dataset for domain adaptation (PyTorch).
illidanlab/SplitMix
[ICLR2022] Efficient Split-Mix federated learning for in-situ model customization during both training and testing time
rasbt/deeplearning-models
A collection of various deep learning architectures, models, and tips
amusi/AI-Job-Notes
AI算法岗求职攻略(涵盖准备攻略、刷题指南、内推和AI公司清单等资料)
dair-ai/ml-visuals
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
CPS-AI/Deep-Compressive-Offloading
Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency
amusi/daily-paper-computer-vision
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文