Sparse Blocks Networks
-
Updated
Nov 6, 2018 - Python
Sparse Blocks Networks
Plant Disease Identification Using Convulutional Neural Network
Unity中还原抖音视频的动作
Nindamani, the AI based mechanically weed removal robot
Bidirectional Attention Flow for Machine Comprehension implemented in Keras 2
AI: Deep Learning for Phishing URL Detection
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
[IJCNLP 2017 - Accepted] Multi-tasking deep learning framework that achieves state-of-the-art results in sentiment analysis, topic prediction, and hashtag recommendation.
Recognize color with a neural network
An algorithm that facilitates communication between a speech-impaired person and someone who doesn't understand sign language using neural networks
LaueNN- neural network training and prediction routine to index single and polycrystalline Laue diffraction patterns
Create fully connected neural networks that can be trained in just a few lines of code
Improved Wasserstein GAN (WGAN-GP) application on medical (MRI) images
Simple CNN is a library that can be used to train and infer CNN models by use of PyTorch and ONNX.
Easily implement parallel training and distributed training. Machine learning library. Note.neuralnetwork.tf package include Llama2, Llama3, Gemma, CLIP, ViT, ConvNeXt, BEiT, Swin Transformer, Segformer, etc, these models built with Note are compatible with TensorFlow and can be trained with TensorFlow.
ISANet is a Neural Network Library.
Three simple feedforward neural networks.
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.
Image classification svm with simple neural network.
Identifying Image Orientation using Supervised Machine Learning Models of k-Nearest Neighbors, Adaboost and Multi-Layer Feed-Forward Neural Network trained using Back-Propagation Learning Algorithm
Add a description, image, and links to the neuralnetwork topic page so that developers can more easily learn about it.
To associate your repository with the neuralnetwork topic, visit your repo's landing page and select "manage topics."