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hi-yan's Projects

eyerissf icon eyerissf

An Eyeriss Chip (researched by MIT, a CNN accelerator) simulator and New DNN framework "Hive"

faceswap icon faceswap

Non official project based on original /r/Deepfakes thread. Many thanks to him!

facets icon facets

Visualizations for machine learning datasets

fairnas icon fairnas

FairNAS: Rethinking Evaluation Fairness of Weight Sharing Neural Architecture Search

falsr icon falsr

Fast, Accurate and Lightweight Super-Resolution models

fasttext icon fasttext

Library for fast text representation and classification.

feathercnn icon feathercnn

FeatherCNN is a high performance inference engine for convolutional neural networks.

fpn_tensorflow icon fpn_tensorflow

This is a tensorflow re-implementation of Feature Pyramid Networks for Object Detection.

free-tpu icon free-tpu

Free TPU for FPGA with Lenet, MobileNet, Squeezenet, Resnet, Inception V3, YOLO V3, and ICNet. Deep learning acceleration using Xilinx zynq (Zedboard or ZC702 ) or kintex-7 to solve image classification, detection, and segmentation problem.

fritz-models icon fritz-models

Train and deploy machine learning models for mobile apps with Fritz AI.

gym icon gym

A toolkit for developing and comparing reinforcement learning algorithms.

idn-caffe icon idn-caffe

Caffe implementation of "Fast and Accurate Single Image Super-Resolution via Information Distillation Network" (CVPR 2018)

imagestackalignator icon imagestackalignator

Implementation of Google's Handheld Multi-Frame Super-Resolution algorithm (from Pixel 3 and Pixel 4 camera)

imdn icon imdn

Lightweight Image Super-Resolution with Information Multi-distillation Network (ACM MM 2019)

in-prestissimo icon in-prestissimo

A very fast neural network computing framework optimized for mobile platforms.QQ group: 676883532 【验证信息输:绝影】

kernel-prediction-networks-pytorch icon kernel-prediction-networks-pytorch

Reimplement of 'Burst Denoising with Kernel Prediction Networks' and 'Multi-Kernel Prediction Networks for Denoising of Image Burst' by using PyTorch

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