OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
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Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation
- lidar-point-cloud
- autonomous-vehicles
- deep-neural-networks
Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)
- tensorflow
- tensorflow-tutorials
- mnist-classification
- mnist
Powerful Powerful Machine Learning library with GPU, CPU and WASM backends
SHAInet - a pure Crystal machine learning library
Hand-gesture recognition on iOS app using CoreML
- ios
- ios11
- swift
- coreml
Accelerated tensor operations and dynamic neural networks based on reverse mode automatic differentiation for every device that can run Swift - from watchOS to Linux
- deep-learning
- deep-neural-networks
- gradient-descent
- automatic-differentiation
A platform independent tensor library with autograd for the JVM
- java
- library
- deep-neural-networks
Address book for computer vision models.
- opencv
- open-source
- deep-neural-networks
- tensorflow
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.
- beginner-friendly
- beginner-project
- deep-learning
- deep-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
ruby-dnn is a ruby deep learning library.
Cryptographic Dataset Generation & Modelling Framework
Generate a summarized description of a body of text
- machine-learning
- docker-image
- deep-neural-networks
- tensorflow-models