Pinned Repositories
A-Prompts
The official Implement of paper "Remind of the Past: Incremental Learning with Analogical Prompts"
algorithmic_trading_book
2 books and related source codes for algorithmic trading.
Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
Connector
convmixer
Deformation-Segmentation
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
group_sparcity
using L2,1 norm base one tensorflow
PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
tensorflow_face
An academic oriented face recognition framework base on tensorflow and tensorflow.slim
ZhihengCV's Repositories
ZhihengCV/Bayesian-Crowd-Counting
Official Implement of ICCV 2019 oral paper Bayesian Loss for Crowd Count Estimation with Point Supervision
ZhihengCV/A-Prompts
The official Implement of paper "Remind of the Past: Incremental Learning with Analogical Prompts"
ZhihengCV/group_sparcity
using L2,1 norm base one tensorflow
ZhihengCV/tensorflow_face
An academic oriented face recognition framework base on tensorflow and tensorflow.slim
ZhihengCV/algorithmic_trading_book
2 books and related source codes for algorithmic trading.
ZhihengCV/Connector
ZhihengCV/convmixer
ZhihengCV/Deformation-Segmentation
PyTorch implementation of Learning to Downsample for Segmentation of Ultra-High Resolution Images
ZhihengCV/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
ZhihengCV/qlib
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
ZhihengCV/react-complete-guide-course-resources
React - The Complete Guide Course Resources (Code, Attachments, Slides)
ZhihengCV/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
ZhihengCV/ultimate-react-course
Starter files, final projects, and FAQ for my Ultimate React course