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Classic D Liu's Projects

2s-agcn icon 2s-agcn

Two-Stream Adaptive Graph Convolutional Networks for Skeleton-Based Action Recognition in CVPR19

adalora icon adalora

AdaLoRA: Adaptive Budget Allocation for Parameter-Efficient Fine-Tuning (ICLR 2023).

aprcp icon aprcp

A General Adaptive Pruning Rate Channel Pruning Method: from Human Pose Estimation HRNet to Classification Networks

aprcp-hrnet icon aprcp-hrnet

APRCP HRNet: Adaptive Pruning Rate Channel Pruning for HRNet Applied to 2D Human Pose Estimation

awesome-nerf icon awesome-nerf

A curated list of awesome neural radiance fields papers

baselines icon baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

bindsnet icon bindsnet

Simulation of spiking neural networks (SNNs) using PyTorch.

book-flutter icon book-flutter

一款Flutter开发的小说阅读器,在线解析、阅读、下载、调整字体等功能。

carlsim4 icon carlsim4

CARLsim is an efficient, easy-to-use, GPU-accelerated software framework for simulating large-scale spiking neural network (SNN) models with a high degree of biological detail.

computer_vision icon computer_vision

C/C++/Python based computer vision models using OpenPose, OpenCV, DLIB, Keras and Tensorflow libraries. Object Detection, Tracking, Face Recognition, Gesture, Emotion and Posture Recognition

deeplearning-500-questions icon deeplearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06

efficientsam icon efficientsam

EfficientSAM: Leveraged Masked Image Pretraining for Efficient Segment Anything

freecad icon freecad

This is the official source code of FreeCAD, a free and opensource multiplatform 3D parametric modeler.

gaussian-splatting icon gaussian-splatting

Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"

hrankplus icon hrankplus

An extension version of our paper accepted by CVPR 2020, Oral -- HRank: Filter Pruning using High-Rank Feature Map

human-pose-estimation.pytorch icon human-pose-estimation.pytorch

The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"

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