414 Open source projects that are alternatives of or similar to tensorflow-rbm

This repo aims to contain different machine learning use cases along with the descriptions to the model architectures

Implementation of the paper "YOLACT Real-time Instance Segmentation" in Tensorflow 2

UnitBox: An Advanced Object Detection Network

Age classification from text using PAN16, blogs, Fisher Callhome, and Cancer Forum

Exploring sklearn 🌟

12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all

An open source library for the GPU-implementation of L-BFGS-B algorithm

Experiments with the ideas presented in https://arxiv.org/abs/2003.00152 by Frankle et al.

Model training, custom generative function and training for raplyrics.eu - A rap music lyrics generation project

Implemented here a Binary Neural Network (BNN) achieving nearly state-of-art results but recorded a significant reduction in memory usage and total time taken during training the network.

Improved TabNet for TensorFlow

MATLAB/Octave library for stochastic optimization algorithms: Version 1.0.20

🌈 Spectral Normalization implemented as Tensorflow 2

A clean implementation of MuZero and AlphaZero following the AlphaZero General framework. Train and Pit both algorithms against each other, and investigate reliability of learned MuZero MDP models.

ExCon: Explanation-driven Supervised Contrastive Learning

datascienv is package that helps you to setup your environment in single line of code with all dependency and it is also include pyforest that provide single line of import all required ml libraries

BoostSRL: "Boosting for Statistical Relational Learning." A gradient-boosting based approach for learning different types of SRL models.

PC-DARTS (PC-DARTS: Partial Channel Connections for Memory-Efficient Differentiable Architecture Search, published in ICLR 2020) implemented in Tensorflow 2.0+. This is an unofficial implementation.

Implementation of GradCAM & Guided GradCAM with Tensorflow 2.x

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

Tensorflow2 Object Detection APIのハンズオン用資料です(Hands-on documentation for the Tensorflow2 Object Detection API)

IEEE ICASSP 21 - Quantum Convolution Neural Networks for Speech Processing and Automatic Speech Recognition

Tensorflow 2.0 implementation of Deep Autoregressive Models

This repository contains books from different topics and perfect enough to give developers a boost in understanding the concepts of Data Science and Artificial Intelligence(other topics are also included but main highlights are these two).

🔎 Monitor deep learning model training and hardware usage from your mobile phone 📱

Perform Efficient ML/DL Modelling easily

A rehost of the python version of SPArse Modeling Software (SPAMS)

FedGroup, A Clustered Federated Learning framework based on Tensorflow

In this repo I will try to gather all of the projects related to data science with clean datasets and high accuracy models to solve real world problems.

Built on data from Pluralsight's course API fetched results. Works with model trained with K-means unsupervised clustering algorithm.

Versatile Nonlinear Feature Selection Algorithm for High-dimensional Data

Programmable Decision Tree Framework

Tf-Rec is a python💻 package for building⚒ Recommender Systems. It is built on top of Keras and Tensorflow 2 to utilize GPU Acceleration during training.

🏆 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.

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome. Permission granted upon request.

Implementations of machine learning algorithm by Python 3

Code for "Neural Tangent Generalization Attacks" (ICML 2021)

A Latent Dirichlet Allocation implementation in Python.

ugtm: a Python package for Generative Topographic Mapping

Learn the theory, math and code behind different machine learning algorithms and techniques.

GitHub repo for my Tensorflow World hackathon submission

bitcoin prediction algorithms

Intention Mining in Social Networking. It Mines Emotions and polarity for the given keyword . For the keyword it searchers the twitter for the comments and analyzes the results for various events such as Election results, Sports prediction Movie ratings, Breaking news events such as demonetisation and many more. Bayes , Maximum Entropy and Hidde…

基于Tensorflow2开发的优秀扩展包及项目

Farm Animal Tracking (FAT)

My GitHub blog: things you might be interested, and probably not...

Implementation of random Fourier features for kernel method, like support vector machine and Gaussian process model

A face mask detection using ssd with simplified Mobilenet and RFB or Pelee in Tensorflow 2.1. Training on your own dataset. Can be converted to kmodel and run on the edge device of k210

Implemented a Convolutional Neural Network for end-to-end driving in a simulator using Tensorflow and Keras. The project involves training over 13,000 images in a unity3d simulator to steer the car successfully throughout the track

Basic Machine Learning implementation with python

No description or website provided.

Attention-Guided Version of 2D UNet for Automatic Brain Tumor Segmentation

Python Clustering Algorithms

AI Learning Hub for Machine Learning, Deep Learning, Computer Vision and Statistics

🤖 An authorial collection of fundamental python recipes on Machine Learning and Artificial Intelligence.

The simplest Perceptron you'll ever see

WIP Tensorflow implementation of https://github.com/mozilla/TTS

Convolutional Recurrent Neural Network(CRNN) for End-to-End Text Recognition - TensorFlow 2

Subjective answer evaluation using machine learning. Give your answers at this link ->