kcyu2014 Goto Github PK

alphax-nasbench101

Neural Architecture Search with Deep Neural Network and Monte Carlo Tree Search

arxiv-latex-cleaner

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

auto-pytorch

Automatic architecture search and hyperparameter optimization for PyTorch

bcnn_kyu

chatgpt-next-web

One-Click to deploy well-designed ChatGPT web UI on Vercel. 一键拥有你自己的 ChatGPT 网页服务。

cvlab-kubernetes

EPFL CVLab Kubernetes tutorials with true training examples 🤩

deep_architect

A general, modular, and programmable architecture search framework

dis

Course Material for Distributed Information Systems 2020

enas

TensorFlow Code for paper "Efficient Neural Architecture Search via Parameter Sharing"

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

eval-nas

PyTorch Code for "Evaluating the search phase of Neural Architecture Search" @ ICLR 2020

gpu-monitor

This is a tool intended to monitor the GPU usage on the various GPU-servers at the LIP6 Lab, Paris

kcyu2014.github.io

My Academic Profolio

lidar-camera-robust-benchmark

Toolkit to convert a clean LiDAR-camera dataset into a robustness benchmark

ml_project2

PRML project 2 Road Extraction

multi-model-forgetting

ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting

nas-landmarkreg

[CVPR2021] Code for Landmark Regularization: Ranking Guided Super-Net Training in Neural Architecture Search

nas-supernet

An Analysis of Super-Net Heuristics in Weight-Sharing NAS

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

nds

On Network Design Spaces for Visual Recognition

pycharmsetttings

pycls

Codebase for Image Classification Research, written in PyTorch.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch-syncbn

Synchronized Multi-GPU Batch Normalization

recurrent-unet

ICCV 2019: Recurrent U-Net for Resource Constraint Segmentation

seminas

Semi Supervised Neural Architecture Search

smash

An experimental technique for efficiently exploring neural architectures.

smsop

Code for Statistically-motivated Second-order Pooling, ECCV2018

website

My Personal website