Stars
A lightweight, portable pure C99 onnx inference engine for embedded devices with hardware acceleration support.
Autocompletion with Deep Learning on Jupyter Notebook
Implementation of some well-known Real-time systems' schedulers
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为PyTorch实现。
Multiscale image debluring network with Gopro dataset
[CVPR 2019, Oral] DAVANet: Stereo Deblurring with View Aggregation
Notes for Jan Erik Solem's "Programming Computer Vision with Python" book
Keras implementation of Deeplab v3+ with pretrained weights
Image augmentation for machine learning experiments.
Image augmentation library in Python for machine learning.
TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)
Lantern官方版本下载 蓝灯 翻墙 代理 科学上网 外网 加速器 梯子 路由 proxy vpn circumvention gfw
My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
LaTeX files for the Deep Learning book notation
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filte…
A curated list of MXNet examples, tutorials and blogs.
A technical report on convolution arithmetic in the context of deep learning
OpenFace – a state-of-the art tool intended for facial landmark detection, head pose estimation, facial action unit recognition, and eye-gaze estimation.
Parallel Faster R-CNN implementation with MXNet.
MXNet port of SSD: Single Shot MultiBox Object Detector. Reimplementation of https://github.com/weiliu89/caffe/tree/ssd
Heterogeneous Run Time version of MXNet. Added heterogeneous capabilities to the MXNet, uses heterogeneous computing infrastructure framework to speed up Deep Learning on Arm-based heterogeneous em…
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.