1796 Open source projects that are alternatives of or similar to CS231n

A modular library built on top of Keras and TensorFlow to generate a caption in natural language for any input image.

A collection of anomaly detection methods (iid/point-based, graph and time series) including active learning for anomaly detection/discovery, bayesian rule-mining, description for diversity/explanation/interpretability. Analysis of incorporating label feedback with ensemble and tree-based detectors. Includes adversarial attacks with Graph Convolutional Network.

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Tensorflow tutorial from basic to hard, 莫烦Python 中文AI教学

经典机器学习算法的极简实现

PyTorch implementations of LSTM Variants (Dropout + Layer Norm)

BasicOCR是一个致力于解决自然场景文字识别算法研究的项目。该项目由长城数字大数据应用技术研究院佟派AI团队发起和维护。

机器学习教程，本教程包含基于numpy、sklearn与tensorflow机器学习，也会包含利用spark、flink加快模型训练等用法。本着能够较全的引导读者入门机器学习。

This repository contains Ipython notebooks and datasets for the data analytics youtube tutorials on The Semicolon.

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

AiLearning: 机器学习 - MachineLearning - ML、深度学习 - DeepLearning - DL、自然语言处理 NLP

This project seeks to utilize Deep Learning models, Long-Short Term Memory (LSTM) Neural Network algorithm, to predict stock prices.

numpy 实现的 周志华《机器学习》书中的算法及其他一些传统机器学习算法

Generative Adversarial Networks in TensorFlow 2.0

LSTM based human activity recognition using smart phone sensor dataset

Generating image captions using Xception Network and Beam Search in Keras

Hands-on in-person workshop for Deep Learning with TensorFlow

Sequence Models by Andrew Ng on Coursera. Programming Assignments and Quiz Solutions.

The projects I do in Machine Learning with PyTorch, keras, Tensorflow, scikit learn and Python.

Enhanced BiLSTM Inference Model for Natural Language Inference

FUKinect-Fall dataset was created using Kinect V1. The dataset includes walking, bending, sitting, squatting, lying and falling actions performed by 21 subjects between 19-72 years of age.

Implementation of key concepts of neuralnetwork via numpy

Recurrent Additive Networks for Tensorflow

Aircraft engine failure prediction model

Train LSTM to writer novel (HongLouMeng here) in Pytorch.

Online Hand Writing Recognition using BLSTM

Recurrent Neural Networks (RNN, GRU, LSTM) and their Bidirectional versions (BiRNN, BiGRU, BiLSTM) for word & character level language modelling in Theano

<머신러닝 교과서 with 파이썬, 사이킷런, 텐서플로>의 코드 저장소

分别使用rnn/cnn/rcnn来实现根据患者描述，进行疾病诊断

Speech emotion recognition implemented in Keras (LSTM, CNN, SVM, MLP) | 语音情感识别

[AAAI 2019] TET-GAN: Text Effects Transfer via Stylization and Destylization

My solutions to the projects assigned for the Udacity Computer Vision Nanodegree

This is a project implementing Computer Vision and Deep Learning concepts to detect drowsiness of a driver and sound an alarm if drowsy.

Pytorch、Scikit-learn实现多种分类方法，包括逻辑回归（Logistic Regression）、多层感知机（MLP）、支持向量机（SVM）、K近邻（KNN）、CNN、RNN，极简代码适合新手小白入门，附英文实验报告（ACM模板）

Easy-to-use Deep LSTM Neural Network to generate song sounds like containing improvisation.

A document covering machine learning basics. 🤖📊

GPU/CPU (CUDA) Implementation of "Recurrent Memory Array Structures", Simple RNN, LSTM, Array LSTM..

RNN-LSTM that learns passwords from a starting list

Show and Tell : A Neural Image Caption Generator

基於DA-RNN之DSTP-RNN論文試做(Ver1.0)

Interactive Visual Machine Learning Demos.

[ICMLC 2018] A Neural Network Architecture Combining Gated Recurrent Unit (GRU) and Support Vector Machine (SVM) for Intrusion Detection

(BOW, TF-IDF, Word2Vec, BERT) Word Embeddings + (SVM, Naive Bayes, Decision Tree, Random Forest) Base Classifiers + Pre-trained BERT on Tensorflow Hub + 1-D CNN and Bi-Directional LSTM on IMDB Movie Reviews Dataset

🏆 A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Electric load forecast using Long-Short-Term-Memory (LSTM) recurrent neural network

[AAAI 2020] Modeling Personality with Attentive Networks and Contextual Embeddings

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

ConvLSTM/ConvGRU (Encoder-Decoder) with PyTorch on Moving-MNIST

Deep Learning

基於關聯式新聞提取方法之雙階段注意力機制模型用於股票預測

Sequence analyzing using Recurrent Neural Networks (RNN) based on Keras

Various implementations and projects on CNN, RNN, LSTM, GAN, etc

Machine learning algorithm such as KNN,Naive Bayes,Logistic Regression,SVM,Decision Trees,Random Forest,k means and Truncated SVD on amazon fine food review

simple tutorial on Machine Learning with Scikitlearn

Recurrent GAN for imputation of time series data. Implemented in TensorFlow 2 on Wikipedia Web Traffic Forecast dataset from Kaggle.

Unpaired Caricature Generation with Multiple Exaggerations (TMM 2021)

practice on CIFAR10 with Keras

CoMoGAN: continuous model-guided image-to-image translation. CVPR 2021 oral.

CPU and GPU implementations of some 2D RNN layers

A siamese LSTM to detect sentence/question pairs.