There are 20 repositories under deep-learning-algorithms topic.
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.
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
The deeplearning algorithms implemented by tensorflow
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
PyTorch implementation of Deformable Convolution
PyTorch tutorials, examples and some books I found 【不定期更新】整理的PyTorch 最新版教程、例子和书籍
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
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 notebooks for refreshing concepts.
RAD: Reinforcement Learning with Augmented Data
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
【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
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
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.
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
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
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
Examples of Machine Learning code using Comet.ml
A Python package that uses task-based neurons to build neural networks.
以jax为后端的类似keras的框架
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search
🤖 Implements of Reinforcement Learning algorithms.