Showing 17 of 161 projects
A self-contained machine learning and natural language processing library written in pure Go with a dynamic computational graph.
A library for creating TensorFlow models that handle structured data with dynamic computation graphs using dynamic batching.
A collection of interactive machine learning experiments with Jupyter notebooks for training and browser demos for visualization.
An abstraction layer over MetalPerformanceShaders for crafting and running fast neural networks on iOS using TensorFlow models.
A curated collection of high-quality deep learning resources, including courses, books, papers, libraries, and datasets.
Implementations of memory-augmented neural networks for language modeling, dialogue systems, and question answering tasks.
An easy-to-use, state-of-the-art named-entity recognition (NER) tool based on neural networks.
A deep learning model for protein sequence design that generates amino acid sequences for given protein backbones.
A neural network library for Elixir built on Nx, providing functional, model creation, and training APIs for deep learning.
A unified framework for implementing and training deep learning models on tabular data using PyTorch and PyTorch Lightning.
A language for distributed deep learning that simplifies model parallelism by specifying tensor computations across hardware meshes.
A deprecated repository for community-contributed Keras extensions like layers, activations, and loss functions.
Elephas is a Keras extension for distributed deep learning on Apache Spark, enabling data-parallel training at scale.
A high-level Deep Learning API for JVM and Android developers, written in Kotlin and inspired by Keras.
An efficient neural network for semantic segmentation of large-scale 3D point clouds using random sampling.
A deep learning framework for Julia with GPU support and automatic differentiation using dynamic computational graphs.
A JAX-based library providing reinforcement learning building blocks for implementing agents, supporting both on-policy and off-policy learning.
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