Pinned Repositories
AutoGMap
Learning to Map Large-scale Sparse Graphs on Memristive Crossbar
AdaBits
adversarial-robustness-toolbox
Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams
AG-Net
Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"
aihwkit
IBM Analog Hardware Acceleration Kit
analog-nas
Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.
apq
[CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
AutoDeeplab
Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation
AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
blyucs's Repositories
blyucs/NASLib
NASLib is a Neural Architecture Search (NAS) library for facilitating NAS research for the community by providing interfaces to several state-of-the-art NAS search spaces and optimizers.
blyucs/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
blyucs/KAN-EA
blyucs/DiNAS
Code for the paper- Multi-conditioned Graph Diffusion for Neural Architecture Search (https://openreview.net/forum?id=5VotySkajV)
blyucs/nasbench301
blyucs/AutoGMap
Learning to Map Large-scale Sparse Graphs on Memristive Crossbar
blyucs/mindmappings
A reference implementation of the Mind Mappings Framework.
blyucs/GENIUS
Can GPT-4 Perform Neural Architecture Search?
blyucs/analog-nas
Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.
blyucs/Lhy_Machine_Learning
李宏毅2021/2022/2023春季机器学习课程课件及作业
blyucs/zero-cost-nas
Zero-Cost Proxies for Lightweight NAS
blyucs/moead-py
A Python implementation of the decomposition based multi-objective evolutionary algorithm (MOEA/D)
blyucs/AG-Net
Code for "Learning Where To Look – Generative NAS is Surprisingly Efficient"
blyucs/nonideality-aware-mnn-training
Code used in the paper “Nonideality-Aware Training for Accurate and Robust Low-Power Memristive Neural Networks”
blyucs/UESTC-Thesis-Latex-Template
UESTC Thesis Latex Template
blyucs/matlab_mnaspp_scatter
matlab_mnaspp_scatter
blyucs/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
blyucs/Informer2020
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
blyucs/blyucs.github.io
Quickly build a beautiful personal blog. Example: Yuyao's Blog ->
blyucs/thesisuestc
ThesisUESTC-电子科技大学毕业论文模板
blyucs/MTGNN
blyucs/hyperopt
Distributed Asynchronous Hyperparameter Optimization in Python
blyucs/BayesianOptimization
A Python implementation of global optimization with gaussian processes.
blyucs/PC-DARTS
PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search
blyucs/naszilla
Naszilla is a Python library for neural architecture search (NAS)
blyucs/nasbowl
[ICLR '21] Interpretable Neural Architecture Search using Bayesian Optimisation with Weisfiler-Lehman Kernel (NAS-BOWL)
blyucs/Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
blyucs/aihwkit
IBM Analog Hardware Acceleration Kit
blyucs/PySpice
Simulate electronic circuit using Python and the Ngspice / Xyce simulators
blyucs/Awesome-Pruning
A curated list of neural network pruning resources.