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logdeep

log anomaly detection toolkit including DeepLog

lora

Using Low-rank adaptation to quickly fine-tune diffusion models.

machine-learning-a-probabilistic-perspective-solutions

My solutions to Kevin Murphy Machine Learning Book

magenta

Magenta: Music and Art Generation with Machine Intelligence

mas-memory-aware-synapses

Memory Aware Synapses method implementation code

newbalenca

optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

optimlibr

An R wrapper for the optimlib library

pix2pixhd

Synthesizing and manipulating 2048x1024 images with conditional GANs

pmtk3

Probabilistic Modeling Toolkit for Matlab/Octave.

progressiveneuralnetworks.pytorch

Implementation of [Progressive Neural Networks](https://arxiv.org/abs/1606.04671) using Pytorch Framework

ptest

ptest

pytorch-cifar100

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet)

pytorch-lightning-template

An easy/swift-to-adapt PyTorch-Lighting template. 套壳模板，简单易用，稍改原来Pytorch代码，即可适配Lightning。You can translate your previous Pytorch code much easier using this template, and keep your freedom to edit all the functions as well. Big-project-friendly as well.

pytorch-tensor-decompositions

PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.

qrm

qrm

qsanguosha

An open source online version of the famous board game Sanguosha

rank7-solution-for-2018-atec-anti-fraud-competition

ATEC蚂蚁开发者大赛-支付风险识别-Rank7

realistic-ssl-evaluation

Open source release of the evaluation benchmark suite described in "Realistic Evaluation of Deep Semi-Supervised Learning Algorithms"

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

risk_analytics

Slides and code for risk analytics / quantitative risk management workshops

rspapers

A Curated List of Must-read Papers on Recommender System.

rworkshop_tidyverse_2019

Material of WDSS R workshop

sgd

Gradient Descent in R/Rcpp/RcppArmadillo

silent-face-anti-spoofing

静默活体检测（Silent-Face-Anti-Spoofing）

sky-cast-capstone

Sky Cast: A Comparison of Modern Techniques for Forecasting Time Series

ss3859tutorial

Tutorial material of SS3859

stockpredictionai

In this noteboook I will create a complete process for predicting stock price movements. Follow along and we will achieve some pretty good results. For that purpose we will use a Generative Adversarial Network (GAN) with LSTM, a type of Recurrent Neural Network, as generator, and a Convolutional Neural Network, CNN, as a discriminator. We use LSTM for the obvious reason that we are trying to predict time series data. Why we use GAN and specifically CNN as a discriminator? That is a good question: there are special sections on that later.

supsup

Code for "Supermasks in Superposition"

testthat

An R 📦 to make testing 😀