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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.

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.

tensorflow_face

An academic oriented face recognition framework base on tensorflow and tensorflow.slim