Introduction tutorials to deep learning with Theano and OpenDeep
☆51Dec 5, 2015Updated 10 years ago
Alternatives and similar repositories for intro_deep
Users that are interested in intro_deep are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Modular & extensible deep learning framework built on Theano.☆213Nov 28, 2022Updated 3 years ago
- ☆49Aug 1, 2016Updated 10 years ago
- Explore different deep-learning frameworks☆18Jun 14, 2018Updated 8 years ago
- A library built on top of Theano. TUTORIAL:☆39Aug 7, 2018Updated 8 years ago
- Recreating the Deep Residual Network in Lasagne☆116Apr 19, 2016Updated 10 years ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- A Spiking Multi-Layer Perceptron☆33Sep 5, 2017Updated 8 years ago
- Simple, small, fully-connected Python version of NeoRL☆11Jan 29, 2016Updated 10 years ago
- Benchmarks of artificial neural network library for Spark MLlib☆11Dec 3, 2015Updated 10 years ago
- Reinforcement learning with a convolutional neural network.☆35Apr 13, 2015Updated 11 years ago
- Implementation of the Monte-Carlo CTW AIXI approximation as described by Joel Veness et al.☆12Jan 14, 2017Updated 9 years ago
- IPython notebook for training multilayer LSTM and RNN networks with pycaffe☆54Sep 20, 2015Updated 10 years ago
- Implementation of the approach described in "Understanding deep features with computer-generated imagery" , M. Aubry and B. Russell, ICCV…☆21Aug 15, 2023Updated 2 years ago
- Exploratory topic modeling with distributional semantics and interactive visualization☆18Jan 11, 2017Updated 9 years ago
- Install directions and example notebooks for Udacity's Deep Learning classes☆28Feb 1, 2016Updated 10 years ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- 2015 PyCon (SG) Presentation :: 2016 version is 'deep-learning-workshop'☆46Jun 26, 2016Updated 10 years ago
- The presentation at Spark Summit 2014 showing how 4Quant does production scale image processing and analysis using Spark☆16Jul 29, 2014Updated 12 years ago
- Yelp Restaurant Photo Classification - Kaggle competition☆11Apr 19, 2019Updated 7 years ago
- Slides and exercises for the Deep Learning Summer School 2015 programming tutorials☆390Jan 30, 2016Updated 10 years ago
- ☆29May 22, 2015Updated 11 years ago
- ☆44Jul 26, 2015Updated 11 years ago
- AI Final Project☆65Jan 17, 2016Updated 10 years ago
- ☆44Mar 30, 2016Updated 10 years ago
- Model-Free Episodic Control☆14Jan 12, 2017Updated 9 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Code for "So similar and yet incompatible: Toward the automated identification of semantically compatible words" in NAACL 2015 proceedi…☆11May 11, 2015Updated 11 years ago
- Reasonably-okay-performing implementation of a GAN and an adversarial autoencoder on MNIST.☆30Jan 1, 2016Updated 10 years ago
- spy on your random forests☆19Aug 20, 2020Updated 5 years ago
- Public Machine Learning and Data Competition Repo☆54Nov 20, 2015Updated 10 years ago
- Module 7: Introduction to D3.js☆21Apr 14, 2016Updated 10 years ago
- For FFL Blog☆10Sep 24, 2015Updated 10 years ago
- This project collects the different accepted papers and their link to Arxiv or Gitxiv☆17Aug 30, 2016Updated 9 years ago
- ☆24Jun 9, 2016Updated 10 years ago
- Markov Bot based on bigram probabilities to generate tweets from your tweet history.☆21Jul 8, 2017Updated 9 years ago
- 1-Click AI Models by DigitalOcean Gradient • AdDeploy popular AI models on DigitalOcean Gradient GPU virtual machines with just a single click. Zero configuration with optimized deployments.
- ☆69Dec 19, 2018Updated 7 years ago
- The original code from the DeepMind article + my tweaks☆19Sep 3, 2015Updated 10 years ago
- Yeah, I'm pretty confident about all this.☆14Oct 21, 2021Updated 4 years ago
- The slides, code examples and resources for the PyCon 2015 Ireland talk on building data pipelines☆13Oct 26, 2015Updated 10 years ago
- MC-AIXI-CTW by Marcus Hutter and his students (in particular Daniel Visentin)☆54May 29, 2011Updated 15 years ago
- Introduction to Deep Learning☆126Nov 5, 2015Updated 10 years ago
- Differentiable neural computers☆27Nov 16, 2016Updated 9 years ago