A group of neural-network libraries for functional and mainstream languages
- neural-network
- machine-learning
- functional-programming
- javascript
Repository Index
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Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
- svm
- regression
- classification
- machine-learning
Ruby Scoring API for PMML
- ruby-gem
- pmml
- random-forest
- classification
👩💻 Matrix and other math, accelerated by WebGPU and WASM
Peax is a tool for interactive visual pattern search and exploration in epigenomic data based on unsupervised representation learning with autoencoders
- epigenomics
- pattern-search
- data-visualization
- interactive-machine-learning
A smart picker for Snacks.nvim that trains a neural network with your file picking preferences.
Docker image gathering packers and tools for making datasets of packed executables and training machine learning models for packing detection
- docker-image
- executable-packing
- malware-packers
- research-platform
Machine Learning & Data Mining with JRuby
- machine-learning
- ruby
- jruby
- weka
A collection of machine-learned models for use in autonomous driving applications.
- model-zoo
- autoware
- machine-learning
- autonomous-driving
Ruby wrapper for the Qdrant vector search database API
- api-client
- qdrant
- ruby
- vector-search
A feedforward neural network implementation for JRuby
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.
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
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.
My algorithmic trading strategies with the Gekko cryptocurrency trading bot.
- gekko-strategies
- trading-strategies
- machine-learning-algorithms
- neural-networks
A framework for machine-learning bots