Sparse Blocks Networks
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Updated
Nov 6, 2018 - Python
Sparse Blocks Networks
Unity中还原抖音视频的动作
Plant Disease Identification Using Convulutional Neural Network
Nindamani, the AI based mechanically weed removal robot
Machine learning library, Distributed training, Deep learning, Reinforcement learning, Models, TensorFlow, PyTorch
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
AI: Deep Learning for Phishing URL Detection
A digital petri dish where you can create artificial life.
This repository is created to show the Neural Arithmetic Logic Unit implementation in python using Tensorflow. The code in this repo complements my article on Medium on NALU
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.
This github repository contains the official code for the paper, "Evolving Robust Neural Architectures to Defend from Adversarial Attacks"
The open source community's implementation of the all-new Multi-Modal Causal Attention from "DeepSpeed-VisualChat: Multi-Round Multi-Image Interleave Chat via Multi-Modal Causal Attention"
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
Image classification svm with simple neural network.
Recognize color with a neural network
LaueNN- neural network training and prediction routine to index single and polycrystalline Laue diffraction patterns
Uno Card detection system with Image processing and convolutional neural network on SVHN DATASET
ISANet is a Neural Network Library.
A simple fully connected feed forward neural network written in python from scratch using numpy & optimized using numba. It is possible to have multiple hidden layers, change amount of neurons per layer & have a different activation function per layer.
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