#Deep-learning-algorithms
Showing 28 of 28 repositories tagged #deep-learning-algorithms, ranked by stars
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.
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
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
Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.
deeplearning.ai , By Andrew Ng, All video link
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)
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Machine Learning notebooks for refreshing concepts.
Neural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
A curated list of all machine learning algorithms and deep learning algorithms grouped by category.
Revisions and implementations of modern Convolutional Neural Networks architectures in TensorFlow and Keras
The Cutest Deep Learning Framework which is also a wonderful Declarative Language
Seed, Code, Harvest: Grow Your Own App with Tree of Thoughts!
以jax为后端的类似keras的框架
Bipartite-network link prediction in Python
Notebook for O'Reilly's "Deep Convolutional Generative Adversarial Networks"
A platform for deep learning challenges and AI education. Deep-ML is a website dedicated to making deep learning challenges accessible and engaging. It offers a variety of AI-related problems for learners at different skill levels.
Study and implementation about deep learning models, architectures, applications and frameworks
A C++11 implementation of the B-Tree part of "The Case for Learned Index Structures"
In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.
Contains demo codes for the course Applied Natural Language Processing
Code for our paper "Regularizing Neural Networks via Adversarial Model Perturbation", CVPR2021
I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis
In this project, I have tried to predict the stock price of Microsoft using LSTM