Alternatives and similar repositories for numpy-convnet

Users that are interested in numpy-convnet are comparing it to the libraries listed below

• GKalliatakis / Adventures-in-deep-learning
  A curated list of Deep Learning resources sorted by reputation
  ☆127Updated 7 years ago
• wagonhelm / Visualizing-Convnets
  How to build convolutional neural networks from scratch w/ Tensorflow
  ☆87Updated 7 years ago
• siddharth-agrawal / Convolutional-Neural-Network
  ☆107Updated 7 years ago
• mitdbg / fastdeepnets
  ☆113Updated 2 years ago
• Atcold / pytorch-Video-Tutorials
  The versatility of Python enlightened by Torch to seize Deep Learning
  ☆129Updated 7 years ago
• dorajam / Convolutional-Network
  A convolutional neural network from scratch
  ☆102Updated 8 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
• williamFalcon / keras-deep-learning-paper-implementations
  Keras implementation of Deep Learning papers
  ☆94Updated 6 years ago
• ColeMurray / tensorflow-cnn-tutorial
  Tensorflow tutorial on convolutional neural networks.
  ☆40Updated 7 years ago
• titu1994 / MobileNetworks
  Keras implementation of Mobile Networks
  ☆133Updated 6 years ago
• Coderx7 / SimpleNet
  This repository contains the architectures, Models, logs, etc pertaining to the SimpleNet Paper (Lets keep it simple: Using simple archit…
  ☆98Updated 2 years ago
• radekosmulski / cifar10_docker
  ☆52Updated 6 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 8 years ago
• llSourcell / AI_for_Video_Games_Syllabus
  This is the Sylllabus for Siraj Raval's Reinforcement Learning course "AI for Video Games" on Youtube
  ☆64Updated 7 years ago
• prakashjayy / medium_blogs
  medium blog supplementaries | Backprop | Resnet & ResNext | RNN |
  ☆73Updated 3 years ago
• llSourcell / how_to_generate_images_with_tensorflow_LIVE
  ☆50Updated 8 years ago
• greydanus / pythonic_ocr
  A convolutional neural network implemented in pure numpy.
  ☆68Updated 7 years ago
• runhani / cv-papers-with-code
  Computer Vision Papers with Code in GitHub
  ☆45Updated 8 years ago
• Miej / Dynamic_Neural_Manifold
  ☆112Updated 9 months ago
• sujitpal / fttl-with-keras
  Transfer Learning and Fine Tuning for Cross Domain Image Classification with Keras
  ☆84Updated 8 years ago
• Machine-Learning-Tokyo / Intro-to-GANs
  This code was developed for the Intro to GANs workshop for Machine Learning Tokyo (MLT).
  ☆66Updated 6 years ago
• upul / Aurora
  Minimal Deep Learning library is written in Python/Cython/C++ and Numpy/CUDA/cuDNN.
  ☆102Updated 7 years ago
• llSourcell / Progressive_GANs
  This is the code for "Generative Artificial Intelligence" By Siraj Raval on Youtube
  ☆102Updated 7 years ago
• llSourcell / neuroevolution-for-flappy-birds
  This is the code for "AI that Creates AI" By Siraj Raval on Youtube
  ☆66Updated 7 years ago
• llSourcell / synthetic_gradients_explained
  This is the code for "Synthetic Gradients Explained" by Siraj Raval on Youtube
  ☆62Updated 6 years ago
• olympus999 / cifar-10-wrn
  Using Wide Residual Networks to get state-of-the-art results in CIFAR-10 dataset
  ☆20Updated 7 years ago
• mila-iqia / summerschool2017
  Material for the Montréal Deep Learning Summer School 2017
  ☆77Updated 7 years ago
• llSourcell / Neural_Arithmetic_Logic_Units
  This is the code for "Neural Arithmetic Logic Units" By Siraj Raval on Youtube
  ☆91Updated 6 years ago
• openAGI / tefla
  Tensorflow based deep-learning library.
  ☆55Updated 2 years ago
• davidstutz / caffe-tools
  Some tools and examples for pyCaffe including LMDB I/O, custom Python layers and monitoring training error and loss.
  ☆77Updated 8 years ago