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A two stage multi-modal loss model along with rigid body transformations to regress 3D bounding boxes
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
PyTorch implementation for 3D Bounding Box Estimation Using Deep Learning and Geometry
3D Bounding Box Estimation Using Deep Learning and Geometry (MultiBin)
3D detection prediction in Autopilot scene with monocular RGB image. Selected Faster RCNN as basemodel and ResNet as backbone with Python.
A resource repository for 3D machine learning
Single/multi view image(s) to voxel reconstruction using a recurrent neural network
Official implementation of Joint Monocular 3D Detection and Tracking (ICCV 2019)
KITTI data processing and 3D CNN for Vehicle Detection
Action recognition using soft attention based deep recurrent neural networks
12 Weeks, 24 Lessons, AI for All!
Deep Learning examples with Keras.
Code for 3D object detection for autonomous driving
A list of papers and datasets about point cloud analysis (processing)
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
A Scalable, Accurate, Robust to Partial Occlusion Method for Predicting the 3D Poses of Challenging Objects without Using Depth
Beginning C++ Game Programming - Second Edition, published by Packt
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
A technical report on convolution arithmetic in the context of deep learning
Multi-layer convolutional LSTM with Pytorch
Convolutional Recurrent Neural Network (CRNN) for image-based sequence recognition.
📃 PyTorch Implementation of DA-RNN (arXiv:1704.02971) [No Longer Maintain]
Semantic Mapping with Data Associated Recurrent Neural Networks
Free Data Engineering course!
10 Weeks, 20 Lessons, Data Science for All!
Deep Learning Benchmark for comparing the performance of DL frameworks, GPUs, and single vs half precision
Repo for the Deep Reinforcement Learning Nanodegree program
PyTorch implementations of deep reinforcement learning algorithms and environments
Hands-on Deep Reinforcement Learning, published by Packt
A list of recent papers regarding deep reinforcement learning
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.