Theano based library for deep and recurrent neural networks.
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Fast open framework for deep learning.
Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
A PyTorch based deep learning library for drug pair scoring.
A Modern, Fast, and Modular Deep Learning and Machine Learning framework for Python.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
Deep cybersecurity research agent for your cloud, code and runtime. Read-only, sandboxed.
Scalable deep learning for industry with parallel GPUs.
Cheaper V4 model, supports thinking and non-thinking modes.
Deep learning optimization library that makes distributed training easy, efficient, and effective.
Scalable deep learning training platform with integrated hyperparameter tuning support; includes Hyperband, PBT, and other search methods.
Deep learning in Rust, with shape checked tensors and neural networks.
A deep learning-based translation library between 50 languages, built with transformers.
Deep learning operations reinvented (for pytorch, tensorflow, jax and others).
Making neural nets uncool again, focused on making deep learning more accessible.
Library for high performance deep learning inference on NVIDIA GPUs.
Implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Code for hyperparameter tuning/optimization of machine learning and deep learning algorithms.
Koç University Deep Learning Framework.
Deep learning framework written in Kotlin.
A low-code framework for building custom AI models like LLMs and other deep neural networks. opensource.
Application-oriented deep reinforcement learning framework addressing real-world decision problems.
MegEngine is a fast, scalable and easy-to-use deep learning framework, with auto-differentiation.