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deep-learning-algorithms

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Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

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sparseml

neuralmagic / sparseml

Star 2k

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

nlp sparsity tensorflow keras pytorch deep-learning-algorithms image-classification deep-learning-library pruning object-detection transfer-learning automl computer-vision-algorithms onnx deep-learning-models sparsification pruning-algorithms smaller-models sparsification-recipes
  • Updated Jul 5, 2024
  • Python

MishaLaskin / curl

Star 562

CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning

deep-neural-networks reinforcement-learning deep-learning curl gpu deep-reinforcement-learning deep-learning-algorithms reinforcement-learning-algorithms deeplearning deep-q-network sac deep-q-learning reinforcement-agents deep-rl deeplearning-ai contrastive-loss off-policy contrastive-predictive-coding model-free-rl contrastive-learning
  • Updated Oct 28, 2020
  • Python
fire-detection-cnn

tobybreckon / fire-detection-cnn

Star 527

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

machine-learning deep-neural-networks computer-vision deep-learning tensorflow deep-learning-algorithms convolutional-networks convolutional-neural-networks object-detection network-architecture superpixels tensorflow-examples cnn-architecture fire-detector cnn-for-visual-recognition robot-vision fire-detection inceptionv1-onfire superpixel-segment firenet
  • Updated Jul 22, 2021
  • Python

idreesshaikh / Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning

Sponsor
Star 244

Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]

reinforcement-learning deep-learning deep-reinforcement-learning pytorch openai deep-learning-algorithms self-driving-car autonomous-driving self-driving ddqn self-driving-cars proximal-policy-optimization ppo carla-simulator carla-driving-simulator self-driving-car-simulation carla-environment
  • Updated Feb 6, 2024
  • Python

dcmocanu / sparse-evolutionary-artificial-neural-networks

Star 239

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

deep-neural-networks sparsity deep-learning scalability randomization neuroevolution deep-learning-algorithms classification evolutionary-algorithms artificial-neural-networks restricted-boltzmann-machine complex-networks deep-learning-papers multi-layer-perceptron generative-models sparse-neural-networks scalable-deep-learning sparse-training sparse-evolutionary-training adaptive-sparse-connectivity
  • Updated Jul 21, 2021
  • Python
SEAL-CI

benedekrozemberczki / SEAL-CI

Sponsor
Star 208

A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)

deep-learning tensorflow machine-learning-algorithms pytorch deepwalk deep-learning-algorithms network-embedding active-learning graph-convolutional-networks gcn node2vec graph-embedding graph-classification active-learning-module node-classification graph-neural-networks graph-representation-learning graph-convolution gnn graph-neural-network
  • Updated Nov 6, 2022
  • Python

josedolz / LiviaNET

Star 162

This repository contains the code of LiviaNET, a 3D fully convolutional neural network that was employed in our work: "3D fully convolutional networks for subcortical segmentation in MRI: A large-scale study"

deep-neural-networks theano deep-learning cnn mri medical-imaging neural-networks deep-learning-algorithms neuroimaging convolutional-networks convolutional-neural-networks image-segmentation neuroimage medical-image-processing 3d-convolutional-network 3d-cnn medical-image-analysis medical-image-segmentation brain-segmentation
  • Updated Nov 20, 2019
  • Python

josedolz / HyperDenseNet

Star 148

This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.

deep-neural-networks theano deep-learning cnn neural-networks deep-learning-algorithms segmentation densenet fcn convolutional-neural-networks image-segmentation medical-image-processing 3d-convolutional-network 3d-cnn medical-image-analysis medical-image-segmentation brain-segmentation hyperdensenet multi-modal-imaging segment-medical-images
  • Updated Nov 20, 2019
  • Python
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