🌎 🚙📚 Predicting travel times and traffic density on a highway in Slovenia

Cryptocurrency prediction using LSTM (Long Short Term Memory)

Fast-API base StockSeer-API uses different machine learning alogs to forecast closing stock prices.

testing MLP, DQN, PPO, SAC, policy-gradient by snake

Ondokuz Mayıs Üniversitesi Bilgisayar Mühendisliği Bitirme Projesi

FitSentiment is a classifier designed to analyze discussions about workout splits. It aims to understand public sentiment towards various weekly workout splits. The classifier is currently trained using data from fitness-related subreddits.

Creating a PyTorch LSTM and Transformer to classify movies by genre and visualizing the LSTM's reasoning process

基于LSTM针对长时序的气温、降水、气压、相对湿度、风速等气象站点数据，对尼洋河径流进行模拟预测

Tesseract Open Source OCR Engine (main repository)

양방향 LSTM 기반 주가 예측 알고리즘 논문 연구 코드입니다.

Detectify is a deep learning system that detects AI-generated fake videos (deepfakes) using CNN and LSTM-based RNNs. Trained on datasets like Face-Forensic++, Deepfake Detection Challenge, and Celeb-DF, Detectify offers real-time video manipulation detection to combat misinformation and misuse of deepfake technology.

Seq2SeqSharp is a tensor based fast & flexible deep neural network framework written by .NET (C#). It has many highlighted features, such as automatic differentiation, different network types (Transformer, LSTM, BiLSTM and so on), multi-GPUs supported, cross-platforms (Windows, Linux, x86, x64, ARM), multimodal model for text and images and so on.

Image Captioning model trained on the flickr 8k dataset

Predicts the closing prices of stocks on the Istanbul Stock Exchange. Identify correlated and inversely correlated stocks

Sentiment analysis of movie comments using the PyTorch and Django frameworks.

NLP notebooks for classification telegram channel name by post text

Text Generation LSTM Keras model trained with Cesar Vallejo poems

We investigate the effectiveness of Recurrent Neural Networks (RNNs) in financial text data sentiment analysis, emphasizing Gated Recurrent Units (GRU) and Long Short-Term Memory (LSTM).

Pytorch implementation of the xLSTM model by Beck et al. (2024)

The information gathered and can be used for the upcoming projects of Sentiment analysis