Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
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Updated
Aug 15, 2021 - Python
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Deep learning is an AI function and subset of machine learning, used for processing large amounts of complex data.
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
Deep learning software for colorizing black and white images with a few clicks.
The deeplearning algorithms implemented by tensorflow
PyTorch implementation of Deformable Convolution
A general list of resources to image text localization and recognition 场景文本位置感知与识别的论文资源与实现合集 シーンテキストの位置認識と識別のための論文リソースの要約
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
deeplearning.ai , By Andrew Ng, All video link
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
PyTorch1.x tutorials, examples and some books I found 【不定期更新】整理的PyTorch 1.x 最新版教程、例子和书籍
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)
RAD: Reinforcement Learning with Augmented Data
Machine Learning notebooks for refreshing concepts.
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
【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
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 Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
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"
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
JAMA 2016; 316(22) Replication Study