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agilenn

Code for paper "Real-time Neural Network Inference on Extremely Weak Devices: Agile Offloading with Explainable AI" (MobiCom'22)

alphagan-matting

This project is an unofficial implementation of AlphaGAN: Generative adversarial networks for natural image matting published at the BMVC 2018

aoapc-bac2nd

Source codes for book <<<BeginningAlgorithmContests>> Second edition

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

arah-release

[ECCV 2022] ARAH: Animatable Volume Rendering of Articulated Human SDFs

asr-conformer

Conformer: Convolution-augmented Transformer for Speech Recognition

background-matting

Background Matting: The World is Your Green Screen

backgroundmattingv2

Real-Time High-Resolution Background Matting

berkeley-stat-157

Homepage for STAT 157 at UC Berkeley

carn-pytorch

Fast, Accurate, and Lightweight Super-Resolution with Cascading Residual Network (ECCV 2018)

cityscapesscripts

README and scripts for the Cityscapes Dataset

clip

Contrastive Language-Image Pretraining

compression

Data compression in TensorFlow

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

csbook

计算机类常用电子书整理，并且附带下载链接，包括Java，Python，Linux，Go，C，C++，数据结构与算法，人工智能，计算机基础，面试，设计模式，数据库，前端等书籍

csinetplus

cskaoyan

提供计算机考研和软件工程考研专业的各个学校 考研真题

d2l-zh-pytorch-slides

Pytorch版代码幻灯片

deeplearning

deepsc

Pytorch implementation of the DeepSC

deepsc-s

Semantic Communication Systems for Speech Transmission

detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

detectron2

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

detr

End-to-End Object Detection with Transformers

dib-r

Learning to Predict 3D Objects with an Interpolation-based Differentiable Renderer (NeurIPS 2019)

dining_philosophers_gui

dl-jhpf

Source codes of the article: "Framework on Deep Learning-Based Joint Hybrid Processing for mmWave Massive MIMO Systems" in IEEE Access.

driver-distraction-and-drowsiness-detection-system

Developed a system that detects and generates an alarm if the driver is found to be distracted or drowsy. Built in Python using OpenCV and facial landmark detection algorithm. Also used the pre trained HarrCascades. Aimed to solve the real-world problem of increasing road accidents due to driver’s distraction and drowsiness. Deployed on AWS using EC2.

dwt

DWT

easynlp

EasyNLP: A Comprehensive and Easy-to-use NLP Toolkit