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deep-learning-algorithms

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Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.

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sudharsan13296 / Hands-On-Reinforcement-Learning-With-Python

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Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow

reinforcement-learning monte-carlo deep-reinforcement-learning openai-gym q-learning deep-learning-algorithms policy-gradient sarsa deep-q-network markov-decision-processes asynchronous-advantage-actor-critic double-dqn trpo dueling-dqn deep-deterministic-policy-gradient ppo deep-recurrent-q-network drqn hindsight-experience-replay policy-gradients
  • Updated Oct 7, 2020
  • Jupyter Notebook
sparseml

neuralmagic / sparseml

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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 automl computer-vision-algorithms onnx deep-learning-models sparsification pruning-algorithms smaller-models model-sparsification sparsification-recipes recipe-driven-approaches
  • Updated Aug 13, 2021
  • Python

MishaLaskin / curl

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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

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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

maykulkarni / Machine-Learning-Notebooks

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Machine Learning notebooks for refreshing concepts.

python machine-learning natural-language-processing reinforcement-learning deep-learning machine-learning-algorithms neural-networks deep-learning-algorithms dimensionality-reduction python-machine-learning data-processing regression-models deep-learning-tutorial data-science-notebook model-evaluation classification-trees clustering-methods machine-learning-tutorials
  • Updated Oct 31, 2018
  • Jupyter Notebook

bat67 / awesome-deep-learning-and-machine-learning-questions

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【不定期更新】收集整理的一些网站中（如知乎、Quora、Reddit、Stack Exchange等）与深度学习、机器学习、强化学习、数据科学相关的有价值的问题

answers website machine-learning collection deep-learning machine-learning-algorithms stackoverflow interview questions zhihu quora collections deep-learning-algorithms question-answering faq machinelearning deeplearning questions-and-answers stackexchange deep-learning-tutorial
  • Updated Jun 4, 2019

dcmocanu / sparse-evolutionary-artificial-neural-networks

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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

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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 Jul 27, 2021
  • Python

josedolz / LiviaNET

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

josedolz / HyperDenseNet

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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 weight image-segmentation nifti-format epoch 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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