lstm

Tesseract Open Source OCR Engine (main repository)

AiLearning：数据分析+机器学习实战+线性代数+PyTorch+NLTK+TF2

Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.

A neural network that transforms a design mock-up into a static website.

Machine learning, in numpy

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RNN and transformer - great performance, linear time, constant space (no kv-cache), fast training, infinite ctx_len, and free sentence embedding.

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Friendly machine learning for the web! 🤖

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier

Deep learning driven jazz generation using Keras & Theano!

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

List of papers, code and experiments using deep learning for time series forecasting

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER

pytorch-kaldi is a project for developing state-of-the-art DNN/RNN hybrid speech recognition systems. The DNN part is managed by pytorch, while feature extraction, label computation, and decoding are performed with the kaldi toolkit.

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

Use unsupervised and supervised learning to predict stocks

TensorFlow template application for deep learning

Self-contained Machine Learning and Natural Language Processing library in Go