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model-compression

model compression based on pytorch (1、quantization: 16/8/4/2 bits(dorefa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、ternary/binary value(twn/bnn/xnor-net)；2、 pruning: normal、regular and group convolutional channel pruning；3、 group convolution structure；4、batch-normalization folding for quantization)

modica-sram

Design of a 32-kbit synchronous SRAM with 32-bit words, using 180 nm process technology. Developed MATLAB scripts to evaluate architectural trade-offs between performance (using logical effort analysis) and area usage; see the source code for the HSPICE decks and MATLAB scripts that are used during architectural trade-off evaluation, and characterization of inverters for different supply voltages (VDD) and temperatures. It also includes HSPICE decks for the characterization of the 6-transistor SRAM cell for different transistor ratios, and the SRAM read and write circuitry. Co-designed and co-developed the SRAM using schematic entry in Cadence Virtuoso. Performed functional and timing verification by simulating extracted SPICE netlist in NanoSim.

neural-networks-on-silicon

This is a collection of works on neural networks and neural accelerators.

nlp_learning

结合python一起学习自然语言处理 (nlp)

octsegmentation

Reference Code for the publication "Probabilistic Intra-Retinal Layer Segmentation in 3-D OCT Images Using Global Shape Regularization" (see http://www.sciencedirect.com/science/article/pii/S1361841514000449)

opendla

A discussion group on Open Source Deep Learning Accelerator, with technical reports and potential hardware/software issues.

pandas-tutorial

适合初级到中级晋升者，有了体系之后就看熟练度了。

perl-python

A program in both perl and python which generates the synthesizable Verilog code for a multistage pipelined shift register with variable number of stages and depth of pipeline which was obtained as input from user or configuration file. User manual was embedded in the program using perldoc and pydoc.

pipecnn

An OpenCL-based FPGA Accelerator for Convolutional Neural Networks

pointnet

PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation

prmlt

Matlab code for machine learning algorithms in book PRML

py-faster-rcnn

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

python

All Algorithms implemented in Python

python-wifi

不借助其他工具，用python暴力破解wifi，有界面

pytorch-book

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation

pytorch-semseg

Semantic Segmentation Architectures Implemented in PyTorch

pytorch-sepconv

an implementation of Video Frame Interpolation via Adaptive Separable Convolution using PyTorch

rad-report-annotator

real-time-deep-face-recognition

using facenet algorithm

real_time_face_recognition

Real time face detection and recognition base on opencv/tensorflow/mtcnn/facenet

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

relaynet_pytorch

Pytorch Implementation of retinal OCT Layer Segmentation (with trained models)

retina-unet

Retina blood vessel segmentation with a convolutional neural network

retina-vesselnet

A DenseBlock-Unet for Retinal Blood Vessel Segmentation

retinal-blood-vessel-segmentation

Segmentation of retinal blood vessels using CNN and random forest machine learning techniques

retinalvesselsegmentationmaxj

This repository contains a hardware acceleration of a retinal vessel segmentation application.

revolver

REVOLVER - Repeated Evolution in Cancer

rocalphago

An independent, student-led replication of DeepMind's 2016 Nature publication, "Mastering the game of Go with deep neural networks and tree search" (Nature 529, 484-489, 28 Jan 2016), details of which can be found on their website https://deepmind.com/publications.html.

sdaccel_examples

SDAccel Examples

sdsn

SDSN for vessel segmentation