1965 Open source projects that are alternatives of or similar to Awesome Computer Vision

jiant is an NLP toolkit

Hyperspectral Image Spatial Super-Resolution via 3D-Full-Convolutional-Neural-Network

Continious Generative Adversarial Network

Ros package for basic autonomous lane tracking and object detection

Serve machine learning models using tensorflow serving

Qualia is a deep learning framework deeply integrated with automatic differentiation and dynamic graphing with CUDA acceleration. Qualia was built from scratch.

Tensorflow implementation for the paper 'Learning Deep Latent Spaces for Multi-Label Classfications' in AAAI 2017

FCOS: Fully Convolutional One-Stage Object Detection.

Discovering Interpretable GAN Controls [NeurIPS 2020]

Super Resolution of picture images using deep learning

source code for paper "Asymmetric Deep Supervised Hashing" on AAAI-2018

This easy-to-use library splits images and its bounding box annotations into tiles, both into specific sizes and into any arbitrary number of equal parts. It can also resize them, both by specific sizes and by a resizing/scaling factor.

The essential plugin suite for Minecraft servers.

A curated list of repositories for my book Machine Learning Solutions.

Object detection from images/point cloud using ROS

Pytroch version of Convolutional Pose Machines

Gradients as Features for Deep Representation Learning

SECOND for KITTI/NuScenes object detection

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

R interface to fast.ai

🦓<->🦒 🌃<->🌆 A collection of image to image papers with code (constantly updating)

GCNet: Non-local Networks Meet Squeeze-Excitation Networks and Beyond

CausalWorld: A Robotic Manipulation Benchmark for Causal Structure and Transfer Learning

Codebase for "Demystifying Black-box Models with Symbolic Metamodels", NeurIPS 2019.

PyTorch implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks

OpenMMLab's next-generation platform for general 3D object detection.

TensorFlow GAN implementation using Gumbel Softmax

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

tensorflow deep RL for driving a rover around

Convert any classification model or architecture trained in keras to an object detection model

ACM-ICPC-resource chinese

PyTorch extensions for fast R&D prototyping and Kaggle farming

Implementation of 'Image Super-Resolution using Deep Convolutional Network'

Modified h5tool.py make user getting celeba-HQ easier

Beyond a Gaussian Denoiser: Residual Learning of Deep CNN for Image Denoising (TIP, 2017)

learn code with tensorflow

Conference Papers and Appendicies (USENIX Security, BlackHat, HITBSecConf, and BeVX)

Python and OpenCV based object tracking software

Replace faces in a video with imaginary persons generated by a progressive GAN deep neural network

machine learning for security

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

📰 Past Papers Sharing Platform Based On Vue.js & GCE Guide | CAIE 试卷分享与下载平台

Voice Conversion with GANs

Annotation tool for images

Dataset and Code for our CVPR'18 paper ST-CGAN: "Stacked Conditional Generative Adversarial Networks for Jointly Learning Shadow Detection and Shadow Removal"

Use the Tensorflow Object Detection API with Tensorflow 2

Implementation of YOLO v3 object detector in Tensorflow (TF-Slim)

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

The py version of toflow → https://github.com/anchen1011/toflow

generate physically realistic synthetic dataset of cluttered scenes using 3D CAD models to train CNN based object detectors

Fast & Simple Resource-Constrained Learning of Deep Network Structure

STag: A Stable Fiducial Marker System

📹🤸‍♂️🤾‍♀️🤺 PoseNet + OSC: send realtime human pose estimation data to your apps

A PyTorch implementation of adversarial pose estimation for multi-person

A collection of computer vision pre-trained models.

Visual localization made easy with hloc

Some of the ML and DL related reading materials, research papers that I've read

[NeurIPS 2018] [JSAIT] PacGAN: The power of two samples in generative adversarial networks

collecting related resources of automated machine learning here