deep-learning-algorithms
There are 421 repositories under deep-learning-algorithms topic.
richzhang/colorization
Automatic colorization using deep neural networks. "Colorful Image Colorization." In ECCV, 2016.
junyanz/interactive-deep-colorization
Deep learning software for colorizing black and white images with a few clicks.
neuralmagic/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
xiaohu2015/DeepLearning_tutorials
The deeplearning algorithms implemented by tensorflow
whitelok/image-text-localization-recognition
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
bat67/pytorch-tutorials-examples-and-books
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
oeway/pytorch-deform-conv
PyTorch implementation of Deformable Convolution
sudharsan13296/Hands-On-Reinforcement-Learning-With-Python
Master Reinforcement and Deep Reinforcement Learning using OpenAI Gym and TensorFlow
ShahariarRabby/deeplearning.ai
deeplearning.ai , By Andrew Ng, All video link
umbertogriffo/Predictive-Maintenance-using-LSTM
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
MishaLaskin/curl
CURL: Contrastive Unsupervised Representation Learning for Sample-Efficient Reinforcement Learning
tobybreckon/fire-detection-cnn
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)
maykulkarni/Machine-Learning-Notebooks
Machine Learning notebooks for refreshing concepts.
MishaLaskin/rad
RAD: Reinforcement Learning with Augmented Data
neuralmagic/sparsezoo
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
Nyandwi/ModernConvNets
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
bat67/awesome-deep-learning-and-machine-learning-questions
【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
Sahith02/machine-learning-algorithms
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
rinuboney/ladder
Ladder network is a deep learning algorithm that combines supervised and unsupervised learning.
dcmocanu/sparse-evolutionary-artificial-neural-networks
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).
idreesshaikh/Autonomous-Driving-in-Carla-using-Deep-Reinforcement-Learning
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
chaoming0625/NumpyDL
Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.
benedekrozemberczki/SEAL-CI
A PyTorch implementation of "Semi-Supervised Graph Classification: A Hierarchical Graph Perspective" (WWW 2019)
albert100121/360SD-Net
Pytorch implementation of ICRA 2020 paper "360° Stereo Depth Estimation with Learnable Cost Volume"
josedolz/LiviaNET
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"
tariqdaouda/Mariana
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
josedolz/HyperDenseNet
This repository contains the code of HyperDenseNet, a hyper-densely connected CNN to segment medical images in multi-modal image scenarios.
kyegomez/the-compiler
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
comet-ml/comet-examples
Examples of Machine Learning code using Comet.ml
digantamisra98/Echo
Python package containing all custom layers used in Neural Networks (Compatible with PyTorch, TensorFlow and MegEngine)
NewT123-WM/tnlearn
A Python package that uses task-based neurons to build neural networks.
duyongan/sunstreaker
以jax为后端的类似keras的框架
ili3p/HORD
Efficient Hyperparameter Optimization of Deep Learning Algorithms Using Deterministic RBF Surrogates
Ceruleanacg/Reinforcement-Learning
🤖 Implements of Reinforcement Learning algorithms.
microsoft/petridishnn
Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search