yell / mnist-challenge
My solution to TUM's Machine Learning MNIST challenge 2016-2017 [winner]
☆70Updated 5 years ago
Alternatives and similar repositories for mnist-challenge:
Users that are interested in mnist-challenge are comparing it to the libraries listed below
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- A high-level framework for advanced deep learning with TensorFlow☆54Updated 7 years ago
- Sample applications built using AWS' Amazon Machine Learning.☆51Updated 7 years ago
- Repository for practical assignments for UvA Deep Learning Course 2016☆51Updated 7 years ago
- my solutions for oxford's "deep nlp 2017" practical assignments☆65Updated 7 years ago
- Python bindings for pyNVML and psutil library over network☆50Updated last year
- Automatically backup keras/tensorflow models from Google's Colab service to your GoogleDrive based on a keras callback!☆82Updated 6 years ago
- Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.☆109Updated 5 years ago
- Lasagne / Theano tutorials for Nvidia Deep Learning Summercamp 2016☆26Updated 8 years ago
- Quick and Dirty TensorFlow command framework to train and evaluate models and make inference☆56Updated 5 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆87Updated 5 years ago
- ☆112Updated last year
- ☆69Updated 6 years ago
- Deep Learning over PyTorch☆61Updated 7 years ago
- Montréal Deep Learning Summer School 2016 material☆100Updated 8 years ago
- ☆53Updated 7 years ago
- Code for paper "L4: Practical loss-based stepsize adaptation for deep learning"☆124Updated 5 years ago
- Tutorial teaching the basics of Keras and some deep learning concepts☆104Updated 8 years ago
- customize this building block to make all the residual connections you can dream of☆79Updated 8 years ago
- tensorflow tutorial for beginner to intermediate☆47Updated 7 years ago
- Tensorflow implementation of Graph Convolutional Network☆77Updated 4 years ago
- Experiments for Jeremy Howard's deep learning courses☆39Updated 7 years ago
- A curated list of awesome hyperparameters for deep learning☆78Updated 7 years ago
- ☆50Updated 6 years ago
- Code for Attentive Recurrent Comparators☆57Updated 7 years ago
- Reinforcement learning course at Data Science Retreat☆42Updated 5 years ago
- Exponential Machines implementation☆41Updated 7 years ago
- Your every day Keras toolbox.☆76Updated 6 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- Some experiments into explaining complex black box ensemble predictions.☆74Updated 5 years ago