Personalized machine learning on the smartphone
- on-device
- deep-learning
- sensor-fusion
- activity-recognition
47,133 repositories indexed
1,225–1,248 of 1,352 · Most stars
Personalized machine learning on the smartphone
A feedforward neural network implementation for JRuby
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
C# math expression library with symbolic computation support
Ruby wrapper for the Weaviate vector search database API
Go's answer to pandas + scikit-learn: a batteries-included data analysis library with dataframes, statistics, machine learning, quant, and GPU acceleration. Run Python with seamless two-way variable sharing, or explore data straight from the Insyra CLI.
:chart_with_upwards_trend: A live cryptocurrency historical trade data blotter. Download live historical trade data from any cryptoexchange, be it for machine learning, backtesting/visualizing trading strategies or for Quantopian/Zipline.
A curated dataset of malware and benign Windows executable samples for malware researchers
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
Python bindings for the Coq interactive proof assistant
A Swift PlaygroundBook about Neural Networks
Detect the sentiment captured in short pieces of text
AI & Machine Learning over historical baseball data using latest Microsoft AI & .NET Development Technologies
Golang Neural Network
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.
Machine learning and natural language processing with Apache Pig
The Waterproof plugin for the Rocq proof assistant allows you to write Rocq proofs in a style that resembles handwritten mathematical proofs, designed to help university students with learning how to prove mathematical statements.
My algorithmic trading strategies with the Gekko cryptocurrency trading bot.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
☯ The simplest signal library possible
An Easy To Use PyTorch Computer Vision Library
A framework for machine-learning bots
Mobile Deep Learning Projects, published by Packt