Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
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Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Open-source project that provides machine-learning models, research, training resources, or evaluation tools.
Basic proof of concept for genetic architecture search in Keras.
Implementation of image to image (pix2pix) translation from the paper by isola et al.[DEEP LEARNING].
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler.
Automated Deep Learning: Neural Architecture Search Is Not the End (a curated list of AutoDL resources and an in-depth analysis).
List of awesome compiler projects and papers for tensor computation and deep learning.
Theano based library for deep and recurrent neural networks.
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.
Dataset repository covering engineering, with searchable datasets.
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.