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

An AI Lip Reader using MediaPipe, LSTM, Transformer and PyTorch

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

Extending the Micrograd Framwork developed by Andrej Kaparthy. will be used to run standard ML methods such as MLPs, LSTM, RNN, CNN and Transformers

Heart disease is still a major worldwide health concern since it is one of the leading causes of mortality and morbidity in India. Early and precise diagnosis of heart disease can save lives and reduce medical costs. Conventional diagnostic methods, however, are often expensive and need specific equipment and expertise.

Tesseract Open Source OCR Engine (main repository)

Image captioning using LSTM attention

🎨 数学公式识别增强版：中英文手写印刷公式、支持初级符号推导（数据结构基于 LaTeX 抽象语法树）Math Formula OCR Pro, supports handwrite, Chinese-mixed formulas and simple symbol reasoning (based on LaTeX AST).

Project Based Learning App Code For Sign To Text Translation System Using Arabic Sign Language

A machine learning project that predicts the future price of Ethereum (ETH) using the price data gathered from coincodex.com.

Welcome to quote our published papers, and the codes have been uploaded.

NLP Project

E-Commerce Product Quality Analysis (Machine Learning Project)

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

A resource for learning about deep learning techniques from regression to LSTM and Reinforcement Learning using financial data and the fitness functions of algorithmic trading

Cuda implementation of Extended Long Short Term Memory (xLSTM) with C++ and PyTorch ports

Image Captioning With lSTM And RNN Using Flickr8k Dataset

Predict stock with LSTM supporting pytorch, keras and tensorflow

scripts used for neural decoding of single and multi unit auditory cortex data

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