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Deep Learning Projects For Beginners
Want to know which are the awesome Top and Best Deep Learning Projects available on Github? Check out below some of the Top 50 Best Deep Learning GitHub Projects repositories with most stars.
What is GitHub?
GitHub is a code hosting platform for version control and collaboration. It gives you and others a chance to cooperate on projects from anyplace.
GitHub shows basics like repositories, branches, commits, and Pull Requests.
To finish this instructional exercise, you require a GitHub.com account and Web access.
Jump into deep learning Mini-Projects for students curated by individuals on GitHub, or add your own resources to these lists.
1.) TensorFlow
TensorFlow tutorials and code examples for beginners.
Models built with TensorFlow
3.) TensorFlow
Computation using data flow graphs for scalable machine learning.
Play with neural networks.
From the basics to slightly more interesting applications of Tensorflow.
6.) TFLearn
Deep learning library featuring a higher-level API for TensorFlow.
7.) Caffe
A fast open framework for deep learning.
8.) Keras
Deep Learning library for Python. Runs on Theano and TensorFlow.
9.) Deep Dream
Deep Dream.
10.) Neural Style
Torch implementation of neural style algorithm.
11.) Roc AlphaGo
“Mastering the game of Go with deep neural networks and tree search”
12.) Data Science IPython Notebooks
Collection of IPython notebooks which includes Big Data, Hadoop, scikit-learn and the scientific Python stack.
13.) Neural Doodle
Turn your two-bit doodles into fine artworks with deep neural networks, generate seamless textures from photos, transfer style from one image to another, perform example-based upscaling.
14.) MXNet
MXNet aims for both flexibility and efficiency, and allows the mixing of imperative and symbolic programming techniques to improve productivity. It includes bindings for languages Python, R, and Julia. MXNet comes with an array of neural network.
15.) CNTK
Computational Network Toolkit (CNTK).
16.) Theano
Theano is a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently.
17.) Torch
Torch7, Deep Learning Library.
18.) OpenFace
Face recognition with deep neural networks.
19.) Neural Talk
NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.
20.) Neural Talk 2
Efficient Image Captioning code in Torch, runs on GPU.
21.) Deeplearning4j
Deep Learning for Java, Scala & Clojure on Hadoop, Spark.
22.) OpenAI Gym
A toolkit for developing and comparing reinforcement learning algorithms.
23.) Qix
A wide range of computing and programming topics, including Node.Js, GoLang, and deep learning.
24.) Leaf
Open Machine Intelligence Framework for Hackers.
25.) Magenta
Music and Art Generation with Machine Intelligence.
26.) Colornet
Neural Network to colorize grayscale images.
27.) Image Analogies
Generate image analogies using neural matching and blending.
28.) Colornet
Neural Network to colorize grayscale images.
29.) ConvNetJS
ConvNetJS is a JavaScript implementation of neural networks and their common modules, and includes numerous browser-based examples.
30.) Synaptic
architecture-free neural network library for node.js and the browser.
31.) Neon
Fast, scalable, easy-to-use Python based Deep Learning Framework by Nervana™.
32.) Matlab Deep Learning Toolbox
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets/Autoencoders & vanilla Neural Nets.
33.) Machine Learning Tutorials
list of machine learning and deep learning tutorials, articles, and resources.
34.) Deep Learning Flappy Bird
Flappy Bird hack using Deep Reinforcement Learning
35.) Theano Tutorials
Bare bones introduction to machine learning from linear regression to convolutional neural networks using Theano.
36.) Blocks
A Theano framework for building and training neural networks.
37.) Brainstorm
Fast, flexible and fun neural networks.
38.) Neural Story Teller
A recurrent neural network for generating little stories about images.
39.) DIGITS
Deep Learning GPU Training System.
40.) Deep Jazz
Deep learning driven jazz generation using Keras & Theano!
42.) Scikit Neural Net
Deep neural networks without the learning cliff.
43.) TensorFlow DeepQ
A deep Q learning demonstration using Google Tensorflow.
45.) Caffe on Spark
Caffe On Spark.
46.) LISA Lab Deep Learning Tutorials
a collection of The University of Montreal’s LISA Lab deep learning tutorials.
47.) DeepCL
OpenCL library to train deep convolutional neural networks.
48.) Visual Search Server
Visual Search using Tensorflow inception model & Approximate Nearest Neighbors.
49.) Deep Detect
Deep Learning API and Server in C++11 with Python bindings and support for Caffe.
50.) Neural Talk 2
Efficient Image Captioning code in Torch, runs on GPU.
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