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keras-yolo3

A Keras implementation of YOLOv3 (Tensorflow backend)

lfattnet

Attention-based View Selection Networks for Light-field Disparity Estimation

lfepicnn

Matlab demo code for "Light Field Reconstruction Using Deep Convolutional Network on EPI" (CVPR 2017)

lfssr-sas-pytorch

Repository for "Light Field Spatial Super-resolution Using Deep Efficient Spatial-Angular Separable Convolution" , TIP 2018

lft

PyTorch Implementation of "Light Field Image Super-Resolution with Transformers"

liif

Learning Continuous Image Representation with Local Implicit Image Function, in CVPR 2021 (Oral)

mine

Code and models for our ICCV 2021 paper "MINE: Towards Continuous Depth MPI with NeRF for Novel View Synthesis"

mmaction2

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

models

Pre-trained and Reproduced Deep Learning Models （『飞桨』官方模型库，包含多种学术前沿和工业场景验证的深度学习模型）

modulus

Open-source deep-learning framework for building, training, and fine-tuning deep learning models using state-of-the-art Physics-ML methods

modulus-sym

Framework providing pythonic APIs, algorithms and utilities to be used with Modulus core to physics inform model training as well as higher level abstraction for domain experts

nerf2d

Adding positional encoding to the input preserves sharp edges in the image

numcpp

C++ implementation of the Python Numpy library

paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

paddle-lite-demo

lib, demo, model, data

paddle-svhn

Multi-digit Number Recognition from Street View Imagery using Deep Convol utional Neural Networks

paddleautoproject

基于PaddlePaddle的自动化功能开发小组

paddleclas

A treasure chest for visual recognition powered by PaddlePaddle

paddlescience

PaddleScience is SDK and library for developing AI-driven scientific computing applications based on PaddlePaddle.

paddletest

PaddlePaddle TestSuite

paddlevideo

Comprehensive, latest, and deployable video deep learning algorithm, including video recognition, action localization, and temporal action detection tasks. It's a high-performance, light-weight codebase provides practical models for video understanding research and application

paddle_deepmd-kit

pyan

pyan is a Python module that performs static analysis of Python code to determine a call dependency graph between functions and methods. This is different from running the code and seeing which functions are called and how often; there are various tools that will generate a call graph in that way, usually using debugger or profiling trace hooks - for example: https://pycallgraph.readthedocs.org/ This code was originally written by Edmund Horner, and then modified by Juha Jeronen. See README for the original blog posts and links to their repositories.

pykan

Kolmogorov Arnold Networks

pymesh

Geometry Processing Library for Python

pytorch-image-models

PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more

pytorch-sepconv

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

r2unet-paddle

Paddle implementation of R2UNet

sam

SAM: Sharpness-Aware Minimization (PyTorch)

sdf

Parallelized triangle mesh --> continuous signed distance field on CPU