cxxgtxy's repositories
DeepLearning-500-questions
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06
awesome-semantic-segmentation
:metal: awesome-semantic-segmentation
BayesianOptimization
A Python implementation of global optimization with gaussian processes.
MobileVLM
Strong and Open Vision Language Assistant for Mobile Devices
Twins
Two simple and effective designs of vision transformer, which is on par with the Swin transformer
YOLOv6
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
cxxgtxy.github.io
Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes
DARTS-
Code for "DARTS-: Robustly Stepping out of Performance Collapse Without Indicators"
deeplabv3plus-pytorch
Here is a pytorch implementation of deeplabv3+ supporting ResNet(79.155%) and Xception(79.945%). Multi-scale & flip test and COCO dataset interface has been finished.
deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
mmsegmentation
OpenMMLab Semantic Segmentation Toolbox and Benchmark.
OpenSelfSup
Self-Supervised Learning Toolbox and Benchmark
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
pytorch-a2c-ppo-acktr-gail
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
pytorch-cifar
95.16% on CIFAR10 with PyTorch
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- (SE)ResNet/ResNeXT, DPN, EfficientNet, MobileNet-V3/V2/V1, MNASNet, Single-Path NAS, FBNet, and more
pytorch-transformers
👾 A library of state-of-the-art pretrained models for Natural Language Processing (NLP)
tensorflow
An Open Source Machine Learning Framework for Everyone