asdfqwer2015's Stars
face3d0725/face_de_mask
Zhangjinso/Awesome-pose-transfer
A collection of papers and codes for human pose transfer
xiezhy6/PASTA-GAN
Official code for NeurIPS 2021 paper "Towards Scalable Unpaired Virtual Try-On via Patch-Routed Spatially-Adaptive GAN"
bcmi/Awesome-Aesthetic-Evaluation-and-Cropping
minar09/awesome-virtual-try-on
A curated list of awesome research papers, projects, code, dataset, workshops etc. related to virtual try-on.
weihaox/awesome-digital-human
A collection of resources on digital human including clothed people digitalization, virtual try-on, and other related directions.
hudson-and-thames/mlfinlab
MlFinLab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.
Kismuz/btgym
Scalable, event-driven, deep-learning-friendly backtesting library
borisbanushev/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.
DBaudry/Generating_Financial_Time_Series_with_GAN
ZhengyaoJiang/PGPortfolio
PGPortfolio: Policy Gradient Portfolio, the source code of "A Deep Reinforcement Learning Framework for the Financial Portfolio Management Problem"(https://arxiv.org/pdf/1706.10059.pdf).
notadamking/RLTrader
A cryptocurrency trading environment using deep reinforcement learning and OpenAI's gym
sangyx/deep-finance
Datasets, papers and books on AI & Finance.
Kayzaks/HackingNeuralNetworks
A small course on exploiting and defending neural networks
cornellius-gp/gpytorch
A highly efficient implementation of Gaussian Processes in PyTorch
hendrycks/ss-ood
Self-Supervised Learning for OOD Detection (NeurIPS 2019)
HobbitLong/CMC
[ECCV 2020] "Contrastive Multiview Coding", also contains implementations for MoCo and InstDis
Philip-Bachman/amdim-public
Public repo for Augmented Multiscale Deep InfoMax representation learning
PramuPerera/OCGAN
munjalbharti/Query-guided-End-to-End-Person-Search
nmharmon8/StockMarketGAN
Stock Market Prediction Using Unsupervised Features
MiloMallo/Stock
Stock Market Prediction Using Unsupervised Features
ale152/muvilab
MUltiple VIdeos LABelling tool
georgymh/instance-identification
Instance Identification on ImageNet VID using triplet loss and online triplet mining.
ammirato/target_driven_instance_detection
omerbsezer/TimeSeries2DBarChartImageCNN
Conversion of the time series values to 2-D stock bar chart images and prediction using CNN (using Keras-Tensorflow)
omerbsezer/SparkDeepMlpGADow30
A Deep Neural-Network based (Deep MLP) Stock Trading System based on Evolutionary (Genetic Algorithm) Optimized Technical Analysis Parameters (using Apache Spark MLlib)
AI4Finance-Foundation/FinRL-Tutorials
Tutorials. Please star.
gidariss/FewShotWithoutForgetting
Yvictor/TradingGym
Trading and Backtesting environment for training reinforcement learning agent or simple rule base algo.