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360 view on ai/ml/dl applications
Adiabatic quantum computation solver for Ising spin-glass or QUBO problems (several test problems included).
PYNQ board spec files for Alinx ZYNQ UltraScale FPGA boards
AutoEncoder for MNIST data
Probabilistic Programming and Bayesian Computing with PyMC
A text on Bayesian inference. Applying Bayesian regression and a Bayesian convolutional neural net on data from simulations of the Ising model
Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.
Binary Neural Network Framework for FPGA(Differentiable LUT)
HLS code for a BNN accelerator
Binarized Convolutional Neural Networks on Software-Programmable FPGAs
Binary Neural Networks research project
Accelerator for BNNs, using Opencl based on FPGA
This repo contains Go implementation and corresponding APIs for acceleration of Binarized Neural Network (BNN) on FPGAs.
Implementing a cascaded SVM on FPGA
Quantum computing is one the most promising new trends in information processing
Reference implementation of a simulator of multiple variants of the Coherent Ising Machine (CIM).
A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.
A class of algorithms to learn classification RBM
hls code zynq 7020 pynq z2 CNN
Conducted research on Dynamic Stochastic Demand Vehicle Routing Problem Based with Co-Evolutionary Algorithm using Matlab for capstone project Applied the Co-Evolutionary algorithm, heuristic local search strategy, adaptive similarity grouping, Hamming distance similarity metric and parallel and distributed population group co-evolutionary strategy
Implemented the Composite Quantization algorithm for Nearest Neighbor search and performed analysis on SIFT, GIST and MNIST datasets.
CNN acceleration on virtex-7 FPGA with verilog HDL
This is a matlab implementation of CNN on MNIST
Simple implementation of Deep Boltzmann Machine
Code of DDcGAN for infrared and visible image fusion and medical image fusion
图像检索和向量搜索,similarity learning,compare deep metric and deep-hashing applying in image retrieval
Deep learning principle practice, based on MNIST hadwritten digit recognition
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
To develop a secure learning framework entitled.
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.