Neural Network topic
Artificial neural networks (ANN) are computational systems that "learn" to perform tasks by considering examples, generally without being programmed with any task-specific rules.
RichWordSegmentor
Neural word segmentation with rich pretraining, code for ACL 2017 paper
SampleRNN_torch
Torch implementation of SampleRNN: An Unconditional End-to-End Neural Audio Generation Model
awesome-ai-in-finance
🔬 A curated list of awesome LLMs & deep learning strategies & tools in financial market.
PyTorch-NLP
Basic Utilities for PyTorch Natural Language Processing (NLP)
neural-net-ruby
A neural network, written in Ruby
LemmaTag
A neural network that jointly part-of-speech tags and lemmatizes sentences, boosting accuracy for morphologically-rich languages (Czech, Arabic, etc.)
one-pixel-attack-keras
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
udify
A single model that parses Universal Dependencies across 75 languages. Given a sentence, jointly predicts part-of-speech tags, morphology tags, lemmas, and dependency trees.
BrabeNetz
🧠A fast and clean supervised neural network in C++, capable of effectively using multiple cores
breast-cancer-classification
Breast Cancer Classification using CNN and transfer learning