MinLiAmoy

rnn-fpga

implementing a Recurrent Neural Network with binarized weight format on FPGA

233-RNN

folked from hjweide/lasagne-char-rnn and ottj/QuantizedRNN

emotion-recognition-4A

Emotion recognition using DNN with tensorflow

3D-ResNets-PyTorch

3D ResNets for Action Recognition (CVPR 2018)

bnn-fpga

Binarized Convolutional Neural Networks on Software-Programmable FPGAs

BinaryNet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

BinaryNet-1

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

BNN-PYNQ

char-rnn

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

DeepFool

A simple and accurate method to fool deep neural networks

DEEPSEC

DEEPSEC: A Uniform Platform for Security Analysis of Deep Learning Model

hwgq

lstm-rnn

long short-term memory for recursive neural network model

MobileNet

MobileNet build with Tensorflow

naiveSmartRetail

this is a project based on my work as an intern at FarSight Inc. It's naive and stupid.

neuraltalk

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

neuraltalk2

Efficient Image Captioning code in Torch, runs on GPU

NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

nn

openpose

OpenPose: A Real-Time Multi-Person Keypoint Detection And Multi-Threading C++ Library

pytorch_Realtime_Multi-Person_Pose_Estimation

This is a pytorch version of Realtime_Multi-Person_Pose_Estimation, origin code is here https://github.com/ZheC/Realtime_Multi-Person_Pose_Estimation

QuantizedRNN

Recurrent Neural Networks With Limited Numerical Precision

Realtime_Multi-Person_Pose_Estimation

Code repo for realtime multi-person pose estimation in CVPR'17 (Oral)

ssd.pytorch

A PyTorch Implementation of Single Shot MultiBox Detector

tf-openpose

Openpose from CMU implemented using Tensorflow with Custom Architecture for fast inference.

torch-rnn

Efficient, reusable RNNs and LSTMs for torch

two-stream-action-recognition

video-classification

Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101

XNOR-Net

ImageNet classification using binary Convolutional Neural Networks

zynqnet

Master Thesis "ZynqNet: An FPGA-Accelerated Embedded Convolutional Neural Network"