533 Open source projects that are alternatives of or similar to Sporf

Gesture Recognition using TensorFlow

Identification of trends in the stock prices of a company by performing fundamental analysis of the company. News articles were provided as training data-sets to the model which classified the articles as positive or neutral. Sentiment score was computed by calculating the difference between positive and negative words present in the news article. Comparisons were made between the actual stock prices and the sentiment scores. Naive Bayes, OneR and Random Forest algorithms were used to observe the results of the model using Weka

文本分类基准测试

Heatmap-integrated Decision Tree Visualizations

This is a Flask app that can classify images of dog and cat. The underlying model is a CNN trained using Keras framework

Deep-Atrous-CNN-Text-Network: End-to-end word level model for sentiment analysis and other text classifications

Image Polygonal Annotation with Python (polygon, rectangle, circle, line, point and image-level flag annotation).

A collection of tools for chemometrics and machine learning written in Julia.

gesture recognition toolkit

I will update this repository to learn Machine learning with python with statistics content and materials

a pytorch lib with state-of-the-art architectures, pretrained models and real-time updated results

TiMBL implements several memory-based learning algorithms.

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

All About the GANs(Generative Adversarial Networks) - Summarized lists for GAN

Yet another neural network library

MobileNetV3 in pytorch and ImageNet pretrained models

All kinds of neural text classifiers implemented by Keras

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

A Julia machine learning framework

Statistical Machine Intelligence & Learning Engine

exploratory data analysis using random forests

https://www.kaggle.com/c/humpback-whale-identification

(ECCV 2020) Tensorflow implementation of A Generic Visualization Approach for Convolutional Neural Networks

ThunderGBM: Fast GBDTs and Random Forests on GPUs

Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost

PHP-ML - Machine Learning library for PHP

Implementation of different techniques to find insights from the satellite data using Python.

An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)

Generalized Random Forests

Examples use case of PHP-ML library.

Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear)

Software for creating and analyzing decision trees.

Reproduce research from paper "Predicting the direction of stock market prices using random forest"

PointCNN: Convolution On X-Transformed Points (NeurIPS 2018)

Hung-Yi Lee ML 2017 Spring Homework

Using Tensorflow and a Support Vector Machine to Create an Image Classifications Engine

Weaviate is a cloud-native, modular, real-time vector search engine

🤖 A portable, header-only, artificial neural network library written in C99

Predicting forex binary options using time series data and machine learning

Machine Learning library for the web and Node.

Object Tracking in Tensorflow ( Localization Detection Classification ) developed to partecipate to ImageNET VID competition

Generalized Data-free Universal Adversarial Perturbations

Automated Machine Learning Pipeline with Feature Engineering and Hyper-Parameters Tuning 🚀

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

mlr3: Machine Learning in R - next generation

使用Theano实现的一些RNN代码，包括最基本的RNN，LSTM，以及部分Attention模型，如论文MLSTM等

A Structured Self-attentive Sentence Embedding

Image Test Time Augmentation with PyTorch!

A MATLAB implementation of the TensorFlow Neural Networks Playground seen on http://playground.tensorflow.org/

Classification for covid-19 chest X-ray images using Lightning

🏷 iOS11 demo application for predicting gender from first names.

food image to recipe with deep convolutional neural networks.

🔎 Classification helper for sex classification feature of InstaPy

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

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

提取图像的灰度共生矩阵（GLCM），根据GLCM求解图像的概率特征，利用特征训练SVM分类器，对目标分类

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

A pytorch reimplementation of CheXNet