cxvista's repositories
3D-ResNets-PyTorch
3D ResNets for Action Recognition (CVPR 2018)
aesthetics
Image Aesthetics Toolkit - includes Fisher Vector implementation, AVA (Image Aesthetic Visual Analysis) dataset and fast multi-threaded downloader
awesome-fashion-ai
A repository to curate and summarise research papers related to fashion and e-commerce
awesome-vision-language-pretraining-papers
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
brickhouse
Hive UDF's for the data warehouse
buildOpenCVTX2
Build and install OpenCV for the NVIDIA Jetson TX2
CDCS
Chinese Data Competitions' Solutions
DataSciComp
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
deeplearning
深度学习相关的模型训练、评估和预测相关代码
ECO-pytorch
PyTorch implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018
flownet2-tf
FlowNet 2.0: Evolution of Optical Flow Estimation with Deep Networks
gulius-projects
收录古柳(DesertsX)的一些小项目
Hello-Generative-Model
PyTorch를 활용한 Generative Model 입문 CAMP (실습자료)
imgclsmob
Sandbox for training deep learning networks
mmdetection
OpenMMLab Detection Toolbox and Benchmark
pretrained-models.pytorch
Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.
python-opencv-cuda
custom opencv_contrib module which exposes opencv cuda optical flow methods with python bindings
scikit-learn
scikit-learn: machine learning in Python
slowfast-keras
A implementation of "SlowFast Networks for Video Recognition" with tf.keras
tensorflow-recipes
A collection of TensorFlow (Tensorpack) implementations of recent deep learning approaches including pretrained models. (FlowNet 2, PWC, PointNet, EnhanceNet)
tensorflow_template_application
TensorFlow template application for deep learning
Tianchi-Taobao-clothes-retrieval
天池淘宝直播商品识别大赛 复赛第7名方案
transferlearning
Everything about Transfer Learning and Domain Adaptation--迁移学习
transformers
🤗 Transformers: State-of-the-art Natural Language Processing for TensorFlow 2.0 and PyTorch.
yulequan-relations-graph
明星关系图谱 体验网址: