Alternatives and similar repositories for ComputerVisionRegression

Users that are interested in ComputerVisionRegression are comparing it to the libraries listed below

• 3catz / deeplearning_timeseries
  Deep Learning + Time Series Analysis
  ☆27Updated 6 years ago
• Shreyav29 / Bitcoin_Price_Prediction
  Multivariate Multi Step Time Series modelling : Predicting the re-rise of bitcoin prices using RNN and optimising the model using GRU and…
  ☆18Updated 4 years ago
• RainBoltz / Series2GAF
  simple time series encoding package
  ☆39Updated last year
• hoseinzadeehsan / CNNpred-Keras
  CNNpred: CNN-based stock market prediction using a diverse set of variables
  ☆71Updated 4 years ago
• mustafaseisa / regimechange
  Non-parametric method for estimating regime change in bivariate time series setting.
  ☆13Updated 8 years ago
• FernandoDeMeer / Hierarchical-SigCWGAN
  Implementation of the [Hierarchical (Sig-Wasserstein) GAN] algorithm for large dimensional Time Series Generation: https://doi.org/10.390…
  ☆17Updated 2 years ago
• h3ik0th / TFT_darts
  probabilistic forecasting with Temporal Fusion Transformer
  ☆41Updated 3 years ago
• Schlam / LSTM-time-series-forecasting
  Predicting the behavior of $BTC-USD by training a memory-based neural net on historical data
  ☆41Updated 4 years ago
• KidQuant / Forecasting-VAR-Granger-Causality
  ☆12Updated 5 years ago
• neoyipeng2018 / cnn
  Using fastai and CNNs to predict stock prices
  ☆25Updated 5 years ago
• 0zean / MODWT-MARS
  Evaluation of Hybrid MODWT-MARS framework for financial time series forecasting
  ☆18Updated 9 months ago
• firmai / mtss-gan
  MTSS-GAN: Multivariate Time Series Simulation with Generative Adversarial Networks (by @firmai)
  ☆94Updated 4 years ago
• EduardoRamosP / MultiTransformer
  Transformer and MultiTransformer layers for stock volatility forecasting purposes
  ☆69Updated 3 years ago
• ashishKAgg / tft
  Stock prediction thru TFT
  ☆37Updated 3 years ago
• carrilloric / CS230
  Generative Adversarial Network for Stock Market Price Prediction
  ☆57Updated 5 years ago
• MuralidharB / tft-stocks
  Inference model for stock prediction using Temporal Fusion Transformers for Interpretable Multi-horizon Time Series Forecasting
  ☆12Updated last year
• BLarzalere / Temporal-Fusion-Transformer
  Probabilistic Forecast of a Multivariate Time Series using the Temporal Fusion Transformer & PyTorch Lightning
  ☆17Updated 2 years ago
• litanli / wavenet-time-series-forecasting
  ☆43Updated last year
• maleakhiw / stock-prediction
  Stock market prediction using standard, ensemble, and neural-network-based models.
  ☆9Updated 4 years ago
• AlgoTrading101 / Conformal-Prediction-MAPIE-Algotrading101
  Conformal Prediction - A Practical Guide with MAPIE
  ☆17Updated last year
• ajayarunachalam / Deep_XF
  Package towards building Explainable Forecasting and Nowcasting Models with State-of-the-art Deep Neural Networks and Dynamic Factor Mode…
  ☆118Updated 2 years ago
• MilindYadav-97 / Hybrid_FastRNN-for-stock-predictions
  ☆14Updated 4 years ago
• zhoutf / finance_gan
  Wasserstein GAN with gradient penalty (WGAN-GP) applied to financial time series.
  ☆17Updated 6 years ago
• umeshpalai / AlgorithmicTrading-MachineLearning
  Deep Learning - Neural network (RNN, LSTM & GRU)
  ☆66Updated 6 years ago
• Bturan19 / Neural-Garch-Hybrid-Model-Implementation
  By combining GARCH(1,1) and LSTM model implementing predictions.
  ☆57Updated 6 years ago
• DrSasanBarak / AugmentTS
  AugmentTS :: Time Series Data Augmentation using Deep Generative Models
  ☆57Updated 3 years ago
• firmai / tsgan
  Time-series Generative Adversarial Networks (fork from the ML-AIM research group on bitbucket))
  ☆121Updated 3 years ago
• Sarunas-Girdenas / transformer_for_time_series
  TST - Transformer Architecture for Time Series Data
  ☆15Updated 5 years ago
• tqa236 / LSTM_algo_trading
  Reproduce the result of the paper "Deep Learning with Long Short-Term Memory Networks for Financial Market Prediction"
  ☆19Updated 4 years ago
• PsiPhiTheta / LSTM-Attention
  A Comparison of LSTMs and Attention Mechanisms for Forecasting Financial Time Series
  ☆72Updated 6 years ago