1330 Open source projects that are alternatives of or similar to Tensorflow Resources

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

MATLAB code for Relevance Vector Machine using SB2_Release_200.

D-Lab's 6 hour introduction to machine learning in R. Learn the fundamentals of machine learning, regression, and classification, using tidymodels in R.

InstantDL: An easy and convenient deep learning pipeline for image segmentation and classification

LAMA - automatic model creation framework

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).

Unsupervised ML algorithm for predictive modeling and time-series analysis

real-time fire detection in video imagery using a convolutional neural network (deep learning) - from our ICIP 2018 paper (Dunnings / Breckon) + ICMLA 2019 paper (Samarth / Bhowmik / Breckon)

This project demonstrates how to run and save predictions locally using exported tensorflow estimator model

mlr3: Machine Learning in R - next generation

Apparel detection using deep learning

ugtm: a Python package for Generative Topographic Mapping

Deep Learning using Rectified Linear Units (ReLU)

In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbofan engine.

Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more

Code for Tensorflow Machine Learning Cookbook

PHP-ML - Machine Learning library for PHP

Succinct Machine Learning algorithm implementations from scratch in Python, solving real-world problems (Notebooks and Book). Examples of Logistic Regression, Linear Regression, Decision Trees, K-means clustering, Sentiment Analysis, Recommender Systems, Neural Networks and Reinforcement Learning.

دوره 12 ساعته یادگیری عمیق با چارچوب Keras

Deep neural network framework for multi-label text classification

R package to interface with OpenML

Implements the Tsetlin Machine, Convolutional Tsetlin Machine, Regression Tsetlin Machine, Weighted Tsetlin Machine, and Embedding Tsetlin Machine, with support for continuous features, multigranularity, and clause indexing

Various methods for generating synthetic data for data science and ML

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

A curated list of almost all machine learning algorithms and deep learning algorithms grouped by category.

Julia package of loss functions for machine learning.

An implementation of multivariate projection pursuit regression and univariate classification

Python/R library for feature selection in neural nets. ("Feature selection using Stochastic Gates", ICML 2020)

Python Machine Learning Algorithms

IPython widgets, interactive plots, interactive machine learning

Snape is a convenient artificial dataset generator that wraps sklearn's make_classification and make_regression and then adds in 'realism' features such as complex formating, varying scales, categorical variables, and missing values.

High-quality Neural Networks for Computer Vision 😎

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Open-source project hosted at https://makeuseofdata.com to crowdsource a robust collection of notes related to data science (math, visualization, modeling, etc)

Always sparse. Never dense. But never say never. A repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

This repository consists of all my Machine Learning Projects.

Object classification with CIFAR-10 using transfer learning

Caffe2 on iOS Real-time Demo. Test with Your Own Model and Photos.

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

tiny fast portable real-time deep neural network for regression and classification within 50 LOC.

Makes Interactive Chart Widget, Cleans raw data, Runs baseline models, Interactive hyperparameter tuning & tracking

Dataset format for AI. Build, manage, & visualize datasets for deep learning. Stream data real-time to PyTorch/TensorFlow & version-control it. https://activeloop.ai

Code for Iterative Reasoning Paper (CVPR 2018)

LDA topic modeling for node.js

百度AI开放平台 .Net SDK

All-in-one Toolbox for Computer Vision Research.

Brain Simulator is a platform for visual prototyping of artificial intelligence architectures.

Learning to Cluster. A deep clustering strategy.

JavaScript library for developing Game AI.

《深度学习》花书手推笔记

6DoF Head tracking software

😆 A voice chatbot that can imitate your expression. OpenCV+Dlib+Live2D+Moments Recorder+Turing Robot+Iflytek IAT+Iflytek TTS

天池医疗AI大赛[第一季]：肺部结节智能诊断 UNet/VGG/Inception/ResNet/DenseNet

A curated list of resources focused on Machine Learning in Geospatial Data Science.

🔥TorchSat 🌏 is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Machine Learning Platform for Kubernetes (MLOps tools for experimentation and automation)

Mathematica implementations of machine learning algorithms used for prediction and personalization.

A Deep Learning based project for creating line art portraits.

An Open Source, Self-Hosted Platform For Applied Deep Learning Development