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a-week-in-wild-ai

360 view on ai/ml/dl applications

adiaqc

Adiabatic quantum computation solver for Ising spin-glass or QUBO problems (several test problems included).

alinx-pynq

PYNQ board spec files for Alinx ZYNQ UltraScale FPGA boards

autoencoder-for-mnist

AutoEncoder for MNIST data

bayes_course_2022

Probabilistic Programming and Bayesian Computing with PyMC

bayesian-inference-and-machine-learning

A text on Bayesian inference. Applying Bayesian regression and a Bayesian convolutional neural net on data from simulations of the Ising model

bayesian-optimization-for-hyper-parameter-tuning

Spearmint integrated Bayesian Optimization for hyper parameter tuning of Auto sparse encoder embedded with softmax Classifier for MNIST digit Classification.

binarybrain

Binary Neural Network Framework for FPGA(Differentiable LUT)

bjtu-bnn-accelerator

bnn

HLS code for a BNN accelerator

bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs

bnn-phd

Binary Neural Networks research project

bnn_based_on_fpga

Accelerator for BNNs, using Opencl based on FPGA

brain

This repo contains Go implementation and corresponding APIs for acceleration of Binarized Neural Network (BNN) on FPGAs.

cascaded-svm-on-fpga

Implementing a cascaded SVM on FPGA

cern-quantum-computing-course

Quantum computing is one the most promising new trends in information processing

cim-optimizer

Reference implementation of a simulator of multiple variants of the Coherent Ising Machine (CIM).

cirq

A python framework for creating, editing, and invoking Noisy Intermediate Scale Quantum (NISQ) circuits.

classrbm

A class of algorithms to learn classification RBM

cnn_fpga_zynq_pynq

hls code zynq 7020 pynq z2 CNN

co-ea

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

composite-quantization-for-approximate-nearest-neighbor-search

Implemented the Composite Quantization algorithm for Nearest Neighbor search and performed analysis on SIFT, GIST and MNIST datasets.

convolution_network_on_fpga

CNN acceleration on virtex-7 FPGA with verilog HDL

convolutional-neural-network

This is a matlab implementation of CNN on MNIST

dbm

Simple implementation of Deep Boltzmann Machine

ddcgan

Code of DDcGAN for infrared and visible image fusion and medical image fusion

deepembeding

图像检索和向量搜索，similarity learning,compare deep metric and deep-hashing applying in image retrieval

deeplearningpractice

Deep learning principle practice, based on MNIST hadwritten digit recognition

deeplearntoolbox

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.

defense-against-adversarial-malware-using-robust-classifier-dam-roc

To develop a secure learning framework entitled.