Deep Learning

Tagged

🌿 SRZoo: An integrated repository for super-resolution using deep learning
10 ⭐ (<1)
idearibosome/srzoo v0.1.0 Similar
🌿 Meta Learning framework for Deep Learning
🌿 a web system to allow users to easily compose and execute full-stack Long Short Term Memory (LSTM) Recurrent Neural Network (RNN) workflows in web browsers by taking advantage of the online spatial data facilities, high-performance computation platforms, and open-source deep learning libraries.
7 ⭐ (<1)
ESIPFed/Geoweaver v0.7.0 Similar
🌿 This fork of BVLC/Caffe is dedicated to improving performance of this deep learning framework when running on CPU, in particular Intel® Xeon processors.
714 ⭐ (<1)
intel/caffe 1.1.6a Similar
🌿 Geometric Deep Learning Extension Library for PyTorch
🌿 🧠 A tool that makes AI easier.
85 ⭐ (<1)
evilsocket/ergo v1.10.0 Similar
🌿 Visualizer for deep learning and machine learning models
4364 ⭐ (+42)
lutzroeder/netron v3.0.8 Similar
🌿 Deep learning gateway on Raspberry Pi and other edge devices
1305 ⭐ (<1)
DT42/BerryNet v3.5.1 Similar
🌿 nGraph is an open source C++ library, compiler and runtime for Deep Learning frameworks
961 ⭐ (+1)
NervanaSystems/ngraph v0.20.0-dev.0 Similar
🌿 Deep learning for single-cell transcript counts
25 ⭐ (0)
scvae/scvae v2.0.0 Similar

Growing

🌿 Visualizer for deep learning and machine learning models
4364 ⭐ (+42)
lutzroeder/netron v3.0.8 Similar
🌿 A curated list of awesome Deep Learning tutorials, projects and communities.
🌿 Deep Learning for humans
41347 ⭐ (+27)
keras-team/keras 2.2.4 Similar
🌿 A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
🌿 A Deep Learning based project for colorizing and restoring old images
6373 ⭐ (+18)
jantic/DeOldify Similar
🌿 PyTorch Tutorial for Deep Learning Researchers
🌿 Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🌿 This is the simulation code for the paper "Beamforming Design for Large-Scale Antenna Arrays Using Deep Learning". Deep learning for 5G communication. Deep learning for beamforming. Beamforming design with deep learning.
🌿 Aid Learning is a Linux system with GUI running on Android without root. AidLearning is also a Python programming framework for mobile devices. In addition the features available in the Linux environment, AidLearning has supported GUI and neural network environments. For example, Caffe, Tensorflow, Mxnet, ncnn, Keras are perfectly supported.
🌿 Deep Learning Book Chinese Translation

Active (commit activity)

🌿 Bike-sharing Predictor project for the Udacity Deep Learning Nanodegree
🌿 Dog breed classifier computer vision project using CNN transfer learning for Udacity Deep Learning Nanodegree
🌿 thesis project. Building predictive modeling using statistical methods, machine learning and deep learning techniques
🌿 Deep Learning Nanodegree Projects
🌿 *한글 번역이 진행 중 입니다* Dive into Deep Learning, Berkeley STAT 157 (Spring 2019) textbook. With code, math, and discussions.
4 ⭐ (0)
d2l-ai/d2l-kr
🌿 deep learning framework in coffeescript
🌿 A curated list of awesome HCI papers that leverage deep learning to create novel interfaces.
🌿 RNN TV script generator NLP project for Udacity Deep Learning Nanodegree
🌿 deep learning homework
1 ⭐ (0)
WenHui-Zhou/DL_HW
🌿 Video classification using Deep Learning.

Popular

🌿 Deep Learning for humans
41347 ⭐ (+27)
keras-team/keras 2.2.4 Similar
🌿 Caffe: a fast open framework for deep learning.
28143 ⭐ (+11)
BVLC/caffe 1.0 Similar
🌿 Deep Learning Book Chinese Translation
🌿 Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
🌿 The most cited deep learning papers
🌿 Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
16943 ⭐ (+7)
apache/incubator-mxnet 1.4.1 Similar
🌿 Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
🌿 A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
🌿 The fastai deep learning library, plus lessons and tutorials
13717 ⭐ (+9)
fastai/fastai Similar
🌿 Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
12558 ⭐ (+3)
ty4z2008/Qix Qix Similar

Events

    3 days ago
    hwalsuklee/awesome-deep-text-detection-recognition (Reached 500 ⭐)
    A curated list of resources for text detection/recognition (optical character recognition ) with deep learning methods.
    1 day ago
    uber/petastorm (Reached 500 ⭐)
    Petastorm library enables single machine or distributed training and evaluation of deep learning models from datasets in Apache Parquet format. It supports ML frameworks such as Tensorflow, Pytorch, and PySpark and can be used from pure Python code.
    21 hours ago
    abhshkdz/papers (Reached 500 ⭐)
    :paperclip: Summaries of papers on deep learning
    3 days ago
    stratospark/food-101-keras (Reached 500 ⭐)
    Food Classification with Deep Learning in Keras / Tensorflow
    zzsza/Awesome-Mobility-Machine-Learning-Contents (Reached 50 ⭐)
    Machine Learning / Deep Learning Contents in Mobility Industry(Transportation)
    deep-geometry/abc-dataset (Reached 50 ⭐)
    ABC: A Big CAD Model Dataset For Geometric Deep Learning
    1 hour ago
    microsoft/tensorwatch (Reached 50 ⭐)
    Debugging, monitoring and visualization for Deep Learning and Reinforcement Learning
    6 days ago
    castorini/hedwig (Reached 50 ⭐)
    PyTorch deep learning models for document classification
    5 days ago
    goodrahstar/Python-Deep-Learning-Projects (Reached 50 ⭐)
    Codebase for my book "Python DeepLearning Projects" | Learn applied deep learning for various use-cases on NLP, CV and ASR using TensorFlow and Keras. Book link.
    21 hours ago
    alseambusher/Paideia (Reached 50 ⭐)
    Know more about your surroundings using Deep Learning