Alternatives and similar repositories for TensorflowProjects:

Users that are interested in TensorflowProjects are comparing it to the libraries listed below

• mikesj-public / dcgan-autoencoder
  ☆164Updated 9 years ago
• shekkizh / neuralnetworks.thought-experiments
  Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow
  ☆202Updated 5 years ago
• reedscot / nips2016
  Learning What and Where to Draw
  ☆337Updated 8 years ago
• awentzonline / keras-rtst
  "Real-Time Style Transfer" with Keras
  ☆156Updated 5 months ago
• phreeza / keras-GAN
  Generative Adversarial Networks with Keras
  ☆156Updated 4 years ago
• jph00 / part2
  ☆145Updated 7 years ago
• soravux / pytorch_tutorial
  Quick PyTorch introduction and tutorial. Targets computer vision, graphics and machine learning researchers eager to try a new framework.
  ☆109Updated 5 years ago
• mlberkeley / oreilly-captions
  ☆155Updated 7 years ago
• mamcgrath / TensorBoard-TF-Dev-Summit-Tutorial
  Hands-on TensorBoard (TensorFlow Dev Summit 2017)
  ☆85Updated 7 years ago
• snf / keras-fractalnet
  FractalNet implementation in Keras: Ultra-Deep Neural Networks without Residuals
  ☆155Updated 7 years ago
• mateuszmalinowski / visual_turing_test-tutorial
  Tutorial for Visual Turing Test (visual question answering, image question answering).
  ☆116Updated 8 years ago
• ericjang / genadv_tutorial
  TensorFlow tutorial on Generative Adversarial Models
  ☆255Updated 6 years ago
• oarriaga / neural_image_captioning
  Neural image captioning (NIC) implementation with Keras 2.
  ☆175Updated 6 years ago
• paarthneekhara / neural-vqa-tensorflow
  Visual Question Answering in Tensorflow.
  ☆230Updated 5 years ago
• nashory / gans-collection.torch
  Torch implementation of various types of GAN (e.g. DCGAN, ALI, Context-encoder, DiscoGAN, CycleGAN, EBGAN, LSGAN)
  ☆54Updated 7 years ago
• abbypa / NNProject_DeepMask
  Deep Neural Network for object segmentation.
  ☆187Updated 8 years ago
• llSourcell / How-to-Learn-from-Little-Data
  This is the code for "How to Learn from Little Data - Intro to Deep Learning #17' by Siraj Raval on YouTube
  ☆140Updated 7 years ago
• adeshpande3 / Generative-Adversarial-Networks
  Tutorial on GANs
  ☆290Updated 7 years ago
• alexis-jacq / Pytorch-Tutorials
  Pytorch tutorials for Neural Style transfert
  ☆136Updated 6 years ago
• kundan2510 / pixelCNN
  Theano reimplementation of pixelCNN architecture
  ☆166Updated 8 years ago
• mineshmathew / char_rnn_karpathy_keras
  Language modellling using RNNs
  ☆52Updated 7 years ago
• rdcolema / nc-fish-classification
  Scripts/notebooks for The Nature Conservancy's fish classification competition
  ☆69Updated 7 years ago
• dengfy / cs231n
  Convolutional Neural Networks for Visual Recognition in Stanford
  ☆68Updated 8 years ago
• awjuliani / TF-Tutorials
  A collection of deep learning tutorials using Tensorflow and Python
  ☆521Updated 7 years ago
• ebenolson / pydata2015
  ☆149Updated 8 years ago
• oduerr / dl_tutorial
  Tutorials for deep learning
  ☆253Updated 6 years ago
• hmi88 / Fast_Multi_Style_Transfer-tensorflow
  Multi style transfer. You can make Gogh + Manet + Picasso style image
  ☆209Updated 7 years ago
• mila-iqia / summerschool2016
  Montréal Deep Learning Summer School 2016 material
  ☆100Updated 8 years ago
• hindupuravinash / nips2016
  A list of resources for all invited talks, tutorials, workshops and presentations at NIPS 2016
  ☆223Updated 8 years ago
• paarthneekhara / byteNet-tensorflow
  ByteNet for character-level language modelling
  ☆318Updated 7 years ago