joe122139 Goto Github PK

andrew-ng-deep-learning-notes

吴恩达《深度学习》系列课程笔记及代码 | Notes in Chinese for Andrew Ng Deep Learning Course

backtesting.py

:mag_right: :chart_with_upwards_trend: :snake: :moneybag: Backtest trading strategies in Python.

best_ai_paper_2020

A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code

cnnforstocks

compressai

A PyTorch library and evaluation platform for end-to-end compression research

deepcluster

Deep Clustering for Unsupervised Learning of Visual Features

defocus-deblurring-dual-pixel

Reference github repository for the paper "Defocus Deblurring Using Dual-Pixel Data". We introduce a deep neural network (DNN) architecture that uses the dual-pixel (DP) sub-aperture views to reduce defocus blur.

deoldify

A Deep Learning based project for colorizing and restoring old images (and video!)

dsanet

Code for the CIKM 2019 paper "DSANet: Dual Self-Attention Network for Multivariate Time Series Forecasting".

enlightengan

[IEEE TIP'2021] "EnlightenGAN: Deep Light Enhancement without Paired Supervision" by Yifan Jiang, Xinyu Gong, Ding Liu, Yu Cheng, Chen Fang, Xiaohui Shen, Jianchao Yang, Pan Zhou, Zhangyang Wang

ethminer

Ethereum miner with OpenCL, CUDA and stratum support

fast_llf_python

implementing the algorithm of fast llf into python

hevc

HEVC Codec

instagram_scrape

an Instagram scraper using pypputeer

intra_compressed_sensing

Intra prediction is applied to video data in Compressed Sensing Contribution settings

lapsrn

Deep Laplacian Pyramid Networks for Fast and Accurate Super-Resolution (CVPR 2017)

learning

Becoming better at data science every day

leetcode

lmk

Livermore's Market Key Method

local_laplacian_filters

Local Laplacian Filters

models

Models and examples built with TensorFlow

pred_pdct

proposed prediction on PDCT

ridnet

Pytorch code for "Real image denoising with feature attention", ICCV (Oral), 2019.

scraper

scsr

Python implementation of "Single Image Super-Resolution via Sparse Representation" for educational purposes.

swav

PyTorch implementation of SwAV https//arxiv.org/abs/2006.09882

tradingtools

Finance related

vit-pytorch

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

zero-dce_extension