Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
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Nov 27, 2023 - Python
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deep-learning-algorithms
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.
Here are 164 public repositories matching this topic...
Deep learning software for colorizing black and white images with a few clicks.
caffe computer-vision deep-learning interactive deep-learning-algorithms colorization automatic-colorization
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Jul 29, 2022 - Python
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
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Jun 2, 2025 - Python
PyTorch implementation of Deformable Convolution
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Jul 21, 2021 - Python
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
deep-neural-networks timeseries deep-learning keras lstm deep-learning-algorithms keras-models keras-neural-networks lstm-neural-networks prediction-model keras-tensorflow predictive-maintenance
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Feb 12, 2024 - Python
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
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Oct 28, 2020 - Python
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
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Jul 22, 2021 - Python
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
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Feb 6, 2024 - Python
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
nlp computer-vision deep-learning-algorithms yolo resnet pruning transfer-learning pretrained-models quantization mobilenet deep-learning-models object-detection-model sparsification-recipe smaller-models sparse-quantized-models models-optimized
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Jun 2, 2025 - Python
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
python machine-learning tutorial deep-learning neural-network machine-learning-algorithms regression deep-learning-algorithms classification implementation trees deep-learning-tutorial implementation-of-algorithms
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Feb 26, 2022 - Python
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
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Jul 21, 2021 - Python
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
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Mar 16, 2017 - Python
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
deep-neural-networks deep-learning deep-learning-algorithms deep-learning-tutorial deep-learning-framework
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May 8, 2021 - Python
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
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Nov 6, 2022 - Python
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
deep-neural-networks computer-vision deep-learning pytorch deep-learning-algorithms depth stereo deeplearning 360 stereo-vision stereo-matching depth-estimation 360-photo icra 360degree 360-degree disparity-predictions stereovision stereo-depth-estimation icra2020
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Aug 5, 2020 - Python
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
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Nov 20, 2019 - Python
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
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Nov 20, 2019 - Python
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
reinforcement-learning deep-learning deep-learning-algorithms artficial-intelligence agora multimodal-deep-learning multi-modality multi-modal-fusion prompt-engineering chain-of-thought chatgpt autogpt tree-of-thoughts
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Jul 27, 2023 - Python
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
python nlp machine-learning deep-neural-networks computer-vision deep-learning algorithms gitbook tensorflow functions machine-learning-algorithms mathematics pytorch deep-learning-algorithms deeplearning tensorflow2 megengine
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Sep 29, 2023 - Python
A Python package that uses task-based neurons to build neural networks.
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Jun 5, 2025 - Python
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