alecGraves / DATA
contains data to be used with machine learning
☆10Updated 7 years ago
Alternatives and similar repositories for DATA:
Users that are interested in DATA are comparing it to the libraries listed below
- Implementation of Google's Inception + ResNet v2 architecture in Keras☆32Updated 8 years ago
- Pytorch solution for Planet: Understanding the Amazon from Space https://www.kaggle.com/c/planet-understanding-the-amazon-from-space☆32Updated 7 years ago
- Tensorflow tutorial on convolutional neural networks.☆40Updated 7 years ago
- YOLO Keras(Python) Implementation☆35Updated 7 years ago
- SSD: Single Shot MultiBox Detector in keras.☆84Updated 4 years ago
- 6th place solution in "Denoising Dirty Documents"☆60Updated 8 years ago
- Programs with word vectors, RNN, NLP stuff, etc☆18Updated 8 years ago
- Winning models for the N+1 Fish, N+2 Fish competition.☆20Updated last year
- SqueezeNet Keras demo☆58Updated 8 years ago
- Multi-GPU training using Keras with a Tensorflow backend.☆20Updated 7 years ago
- Repository for tackling Kaggle Ultrasound Nerve Segmentation challenge using Torchnet.☆48Updated 8 years ago
- Python-caffe simplified implementation of the R-CNN object detection method. I have taken as a starting point the caffe ipython-notebook …☆19Updated 10 years ago
- Source for post "An Easy Guide to build new TensorFlow Datasets and Estimator with Keras Model"☆32Updated 5 years ago
- ☆63Updated 7 years ago
- An unofficial Kaggle datasets downloader☆23Updated 2 years ago
- ☆20Updated 8 years ago
- Chainer squeezenet model☆24Updated 9 years ago
- Segmentation with deep learning☆37Updated 8 years ago
- ☆14Updated 9 years ago
- Deep Learning libraries tested on images and time series☆163Updated 7 years ago
- A super simple way to do distributed hyperparameter tuning with Keras and Mongo☆30Updated 8 years ago
- Adversarial Multiclass Classification: A Risk Minimization Perspective☆28Updated 5 years ago
- A real pal when you want to add VGG16 to your Keras model.☆27Updated 8 years ago
- Some starter code for training/testing some basic CNN models given our data.☆10Updated 8 years ago
- Wide Residual Networks implemented in TensorLayer and TensorFlow.☆44Updated 8 years ago
- Applying the 100 Layer Tiramisu on the Camvid Dataset☆29Updated 7 years ago
- Using Wide Residual Networks to get state-of-the-art results in CIFAR-10 dataset☆20Updated 7 years ago
- 3rd place solution☆63Updated 5 years ago
- Extending Keras to support tfrecord dataset☆61Updated 8 years ago
- ☆23Updated 8 years ago