Torch-like deep learning framework for Javascript with support for tensors, autograd, optimizers, and other neural net constructs.
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A PyTorch based deep learning library for drug pair scoring.
This is a fast C++/CUDA implementation of convolutional [DEEP LEARNING].
Curate and annotate vision, audio, and LLM datasets, track experiments, and manage models on a single platform.
A fast Clojure Tensor & Deep Learning library.
Scalable deep learning for industry with parallel GPUs.
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.
Industrial Grade Federated Learning Framework.
Friendly Federated Learning Framework.
Library for high performance deep learning inference on NVIDIA GPUs.
A curated list of generative deep learning tools, works, models, etc. for artistic uses, by @filipecalegario.
A library for developing and comparing reinforcement learning algorithms (successor of [gym])(https://github.com/openai/gym).
Distributed deep learning training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Helps teams build, deploy, observe or operate machine-learning systems.
Notes on what I'm thinking about, learning, and working on.
Koç University Deep Learning Framework.
Deep learning framework written in Kotlin.
Lightly is a computer vision framework for self-supervised learning.