ML5 Machine Learning For Blazor with JSInterop mechanism
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Personalized machine learning on the smartphone
- on-device
- deep-learning
- sensor-fusion
- activity-recognition
A feedforward neural network implementation for JRuby
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
- fine-tuning
- vgg16
- resnet18
- densenet121
C# math expression library with symbolic computation support
- csharp
- dotnet
- expression-parser
- math
Ruby wrapper for the Weaviate vector search database API
- api-client
- ruby
- vector-search
- weaviate
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.
- cryptocurrency
- exchange
- trade
- data
A curated dataset of malware and benign Windows executable samples for malware researchers
- machine-learning
- deep-learning
- malware-research
- malware-detection
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
- keras
- keras-neural-networks
- pascal
- delphi
Python bindings for the Coq interactive proof assistant
- python
- coq
- verification
- machine-learning
A Swift PlaygroundBook about Neural Networks
- wwdc19
- wwdc-scholarship
- machine-learning
- playgroundbook
Detect the sentiment captured in short pieces of text
- docker-image
- machine-learning
- machine-learning-models
- ibm
AI & Machine Learning over historical baseball data using latest Microsoft AI & .NET Development Technologies
- blazor
- machine-learning
- artificial-intelligence
- baseball-statistics
Golang Neural Network
- golang
- neural-network
- machine-learning
- perceptron
a feature engineering wrapper for sklearn
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.
- gekko-strategies
- trading-strategies
- machine-learning-algorithms
- neural-networks
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
- single-cell
- scrna-seq
- scatac-seq
- deep-neural-networks
A versatile, fully open-source pipeline to extract phenotypic measurements from plant images
- deep-learning
- plant-phenotyping
- nextflow
- scikit-image
☯ The simplest signal library possible
An Easy To Use PyTorch Computer Vision Library
- computer-vision
- deep-learning
- pytorch
- pytorch-lightning