Using Machine Learning to predict the type of exercise from movement data
- keras
- tensorflow
- coreml
- googlecloudml
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Using Machine Learning to predict the type of exercise from movement data
Axon/Myelin segmentation using Deep Learning
A neural network, written in Ruby
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
Readings for "A Unified View of Relational Deep Learning for Drug Pair Scoring." (IJCAI 2022)
An Elixir Evolutive Neural Network framework à la G.Sher
A simplistic Neural Network Library in Go
A platform independent tensor library with autograd for the JVM
A graph reliability toolbox based on PyTorch and PyTorch Geometric (PyG).
A neural network framework (with autograd!) for object pascal 🧠
FANN (Fast Artifical Neural Network) binding in Crystal
Address book for computer vision models.
fonet is a deep neural network package for Go.
Friendly Environment for Neural Networks (fenn) is a simple Python framework for building ML/DL workflows and LLM agents faster, with prebuilt trainers, agent templates, logging, configuration management, and much more.
Neural Network for Go.
A Tensorfflow implementation of Attend, Infer, Repeat
A group of neural-network libraries for functional and mainstream languages
👩💻 Matrix and other math, accelerated by WebGPU and WASM
A feedforward neural network implementation for JRuby
Keras4Delphi is a high-level neural networks API, written in Pascal with Python Binding
Golang Neural Network
Towards Reverse-Engineering Black-Box Neural Networks, ICLR'18
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.