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CamOdoCal: Automatic Intrinsic and Extrinsic Calibration of a Rig with Multiple Generic Cameras and Odometry
A challenge to explore adversarial robustness of neural networks on CIFAR10.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
Code for the paper: CNN-generated images are surprisingly easy to spot... for now https://peterwang512.github.io/CNNDetection/
COLMAP - Structure-from-Motion and Multi-View Stereo
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Full Resolution Residual Networks for Semantic Image Segmentation
Generative Adversarial Network for MNIST with tensorflow
Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.
Compiler for Neural Network hardware accelerators
Added batch normalization to googlenet to solve the slow training problem.
Simple baselines and RNNs for predicting human motion in tensorflow. Presented at CVPR 17.
an imagenet example in torch.
A Kitti Road Segmentation model implemented in tensorflow.
LSD-SLAM
Memory Networks implementations
Real-time Joint Semantic Reasoning for Autonomous Driving
Robust evasion attacks against neural network to find adversarial examples
Obfuscated Gradients Give a False Sense of Security: Circumventing Defenses to Adversarial Examples
Changhee Won, Jongbin Ryu and Jongwoo Lim "End-to-End Learning for Omnidirectional Stereo Matching with Uncertainty Prior", in TPAMI 20
C++ plane sweep using CUDA
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO) and Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR).
A toy library for Structure from Motion using OpenCV
A simple training with simulated (self-generated images) on Alex-net. Modified from soumith's code.
Changhee Won, Jongbin Ryu and Jongwoo Lim "SweepNet: Wide-baseline Omnidirectional Depth Estimation", in ICRA 2019
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.