openai/CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

⭐ 32628 | 🍴 3928

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.

⭐ 5448 | 🍴 1870

jaungiers/LSTM-Neural-Network-for-Time-Series-Prediction

LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data

⭐ 5166 | 🍴 1971

kootenpv/whereami

Uses WiFi signals :signal_strength: and machine learning to predict where you are

⭐ 5143 | 🍴 255