codes for progress

Deep Learning for Camera Calibration and Beyond: A Survey

面试八股文

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

List of papers related to neural network quantization in recent AI conferences and journals (please refer to README in the folder for a better view).

一款帮助用户自动提取微博热搜、知乎热榜、百度实时热点条目中与特定领域（科技、娱乐、体育、自定义）有关内容的实用App

Tetris: the little prince. A pygame program developed based on the classic game Tetris

List of papers related to neural network quantization in recent AI conferences and journals.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Class project of computational photography, including the implementation and improvement of CVPR 2019 paper "Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancem…

一款帮助用户自动提取微博热搜、知乎热榜、百度实时热点条目中与特定领域（科技、娱乐、体育、自定义）有关内容的实用App

[FPGA'21] CoDeNet is an efficient object detection model on PyTorch, with SOTA performance on VOC and COCO based on CenterNet and Co-Designed deformable convolution.

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.

group project for algorithm analysis class

Implementation of NeurIPS2019 paper "Reflection Separation using a Pair of Unpolarized and Polarized Images".

Single Image Reflection Removal Exploiting Misaligned Training Data and Network Enhancements (CVPR 2019)

This tool provides an efficient implementation of the continuous bag-of-words and skip-gram architectures for computing vector representations of words. These representations can be subsequently us…

An Open Source Machine Learning Framework for Everyone

Natural Language Processing Tutorial for Deep Learning Researchers