Tesseract Open Source OCR Engine (main repository)
- tesseract
- tesseract-ocr
- ocr
- lstm
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Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Machine learning, in numpy
- machine-learning
- neural-networks
- topic-modeling
- gaussian-mixture-models
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.
- attention-mechanism
- deep-learning
- gpt
- gpt-2
Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch
Translated[Captcha Recognition - Training] This project is based on CNN/ResNet/DenseNet+GRU/LSTM+CTC/CrossEntropy to realize verification code identification. This project is only for training the model.
- captcha-recognition
- tensorflow-tutorials
- ocr
- tensorflow
Self-contained Machine Learning and Natural Language Processing library in Go
in progress
- tensorflow
- cnn
- lstm
- nlp
Generative Handwriting using LSTM Mixture Density Network with TensorFlow
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
- tensorflow
- lstm
- rnn
- stacked-layers
Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
🎯 ML-based positioning method from mmWave transmissions - with high accuracy and energy efficiency
- beamforming
- mmwave
- positioning
- 5g
Research experiments exploring uncommon quant techniques.
- analysis
- jupyter-notebook
- python
- quant
AI crypto trading bot with deep neural network (84.9% accuracy, 25 coins). BiLSTM + Attention trained on GPU. Bybit, Binance, OKX, Gate.io. Free cloud or self-hosted.
DetecDiv provides a comprehensive set of tools to analyze time microscopy images using deep learning methods. The software structure is such that data can be processed either at the command line or using a graphical user-interface. Detecdiv classification models include : image classification and regression, semantic segmentation, LSTM networks to analyze data and image timeseries.