7828 Open source projects that are alternatives of or similar to Pba

Best Practices, code samples, and documentation for Computer Vision.

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Deep learning codes and projects using Python

CNN image classifier implemented in Keras Notebook 🖼️.

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Library for Semi-Automated Data Science

Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL [email protected]

A collection of computer vision projects for Acute Lymphoblastic Leukemia classification/early detection.

[UNMAINTAINED] Automated machine learning for analytics & production

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High-performance Vision library in Python. Scale your research, not boilerplate.

A specially designed light version of Fast AutoAugment

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Image Tampering Detection using ELA and CNN

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Object classification with CIFAR-10 using transfer learning

food image to recipe with deep convolutional neural networks.

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Support content for my blog

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

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.

Tutorials, assignments, and competitions for MIT Deep Learning related courses.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

Human Activity Recognition (HAR) with 1D Convolutional Neural Network in Python and Keras

Best Practices on Recommendation Systems

Data science and Machine Learning GUI programs/ desktop apps with PySimpleGUI package

Collection of useful data science topics along with code and articles

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

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Linear Prediction Model with Automated Feature Engineering and Selection Capabilities

TensorFlow 101: Introduction to Deep Learning for Python Within TensorFlow

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

Using A.I. and computer vision to build a virtual personal fitness trainer. (Most Startup-Viable Hack - HackNYU2018)

Create HTML profiling reports from pandas DataFrame objects

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.

Amacımız Türkçe NLP literatüründeki birçok farklı sorunu bir arada çözebilen, eşsiz yaklaşımlar öne süren ve literatürdeki çalışmaların eksiklerini gideren open source bir yazım destekleyicisi/denetleyicisi oluşturmak. Kullanıcıların yazdıkları metinlerdeki yazım yanlışlarını derin öğrenme yaklaşımıyla çözüp aynı zamanda metinlerde anlamsal analizi de gerçekleştirerek bu bağlamda ortaya çıkan yanlışları da fark edip düzeltebilmek.

👨🏽‍🏫You can learn about what data science is and why it's important in today's modern world. Are you interested in data science?🔋

[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml

Collection of Artificial Intelligence projects.

A hyperparameter optimization and data collection toolbox for convenient and fast prototyping of machine-learning models.

This is a tutorial for PyTorch Geometric on the YooChoose dataset

Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

Interpretable ML package 🔍 for concise, transparent, and accurate predictive modeling (sklearn-compatible).

Time Series Forecasting Best Practices & Examples

a delightful machine learning tool that allows you to train, test, and use models without writing code

Repository for "Introduction to Artificial Neural Networks and Deep Learning: A Practical Guide with Applications in Python"

The Go kernel for Jupyter notebooks and nteract.

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Cryptocurrency Price Prediction Using LSTM neural network

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

An automatic ML model optimization tool.

LAMA - automatic model creation framework

[DEPRECATED] A Neural Network based generative model for captioning images using Tensorflow

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