jxhekang Goto Github PK
Name: hekang
Type: User
Name: hekang
Type: User
算法模板,最科学的刷题方式,最快速的刷题路径,你值得拥有~
Caffe: a fast open framework for deep learning.
Configure Caffe in one hour for Windows users.
HLS based Deep Neural Network Accelerator Library for Xilinx Ultrascale+ MPSoCs
Useful CMake Examples
《剑指Offer》第二版源代码
Deep Compression on AlexNet
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
Tensorflow Basic Sample Code
Tutorials for the Edge AI Platform
B站Efficient-Neural-Network学习分享的配套代码
my first repository
A Python module for getting the GPU status from NVIDA GPUs using nvidia-smi programmically in Python
Hands-On GPU Accelerated Computer Vision with OpenCV and CUDA, published by Packt
my second repository
micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape
Several simple examples for popular neural network toolkits calling custom CUDA operators.
Tutorial for Using Custom Layers with OpenVINO (Intel Deep Learning Toolkit)
Python Productivity for ZYNQ
Python on Zynq FPGA for Convolutional Neural Networks
95.47% on CIFAR10 with PyTorch
A quickstart and benchmark for pytorch distributed training.
Roofline prototype for Arm
An Open Source Machine Learning Framework for Everyone
tensorflow prediction using c++ api
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.