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algorithms_for_machinelearning

Open Source Code for Machine Learning in Computer Vision

bit-rnn

Quantize weights and activations in Recurrent Neural Networks.

caffe

Caffe: a fast open framework for deep learning.

caffe-mpi.github.io

clnet

OpenCL for Nets - A Deep Learning Framework based on OpenCL, written by C++. Supports popular MLP, RNN(LSTM), CNN(ResNet). Friendly debugger. Transparent data. No library dependencies. 基于OpenCL的深度学习计算框架，C++开发，支持多层感知器，长短时记忆模型，卷积神经网络，残差网络。调试方便，数据透明。无外部依赖。

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

jittor

Jittor is a high-performance deep learning framework based on JIT compiling and meta-operators.

k-means-opencl

A k-means++ clustering implemented in OpenCL

librarysystem

基于SSM的图书馆管理系统。主要功能包括：图书查询、图书管理、图书编辑、读者管理、图书的借阅与归还以及借还日志记录等。

matsuko

Hold on.

mllibcpp

A machine learning library capable of training various deep neural networks (RNNs, LSTMs, DBNs, ect...) on a GPU. It makes use of auto-differentiation algorithms. Written in C++ with OpenCl.

recurrent-neural-net

A recurrent (LSTM) neural network in C

rnn-opencl

Using RNNs for in-home activity monitoring

rnn-using-opencl-on-fpga

rnn_opencl

OpenCL RNN decryption

scikit-learn

scikit-learn: machine learning in Python

test

some operations is to test whether the system works.

tf2

An Open Source Deep Learning Inference Engine Based on FPGA

whydahgally-lstm-mlp

Machine Learning Tool with LSTM and MLP Neural Networks, with CUDA implementation.