Tesseract Open Source OCR Engine (main repository)
Flash-linear-attention compatible KronLSTM model and kernels by NXAI.
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
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.
List of Molecular and Material design using Generative AI and Deep Learning
Predicting stock prices using a TensorFlow LSTM (long short-term memory) neural network for times series forecasting
C++ 17 based library (with sample applications) for testing equities, futures, currencies, etfs & options based automated trading ideas using DTN IQFeed real time data feed and Interactive Brokers (IB TWS API) for trade execution. libtorch/lstm/cuda demo. Support for Alpaca & Phemex. Notifications via Telegram.
Time-series forecasting for stock prices using LSTM neural networks, including data fetching and visualization.
AI-powered Labour Law Violation Detection System using Weak Supervision, BiLSTM, Graph Neural Networks (GNN), and Explainable AI to identify labour law violations.
Guitar pedal using a stm32h7 microcontroller programmed with CubeIDE (PCB and Firmware)