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

This is a tutorial for PyTorch Geometric on the YooChoose dataset

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

Best Practices on Recommendation Systems

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

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

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

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

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

Deep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor

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

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Curso de Introducción a Machine Learning con Python

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

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Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.

tensorflow implementation of Grad-CAM (CNN visualization)

Human-explainable AI.

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

🚀 Curated collection of Amazing Python scripts from Basics to Advance with automation task scripts.

Shōgun

Jupyter Notebooks from the old UnsupervisedLearning.com (RIP) machine learning and statistics blog

Data Science Hacks consists of tips, tricks to help you become a better data scientist. Data science hacks are for all - beginner to advanced. Data science hacks consist of python, jupyter notebook, pandas hacks and so on.

Introduction to Data Science: A Python Approach to Concepts, Techniques and Applications

DrQ: Data regularized Q

Repository of code and resources related to different data science and machine learning topics. For learning, practice and teaching purposes.

Open-Source Tutorial For Analyzing and Visualizing Cryptocurrency Data

Compilation of R and Python programming codes on the Data Professor YouTube channel.

Building a Simple Chatbot from Scratch in Python (using NLTK)

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

PyTorch implementation of RICAP (Random Image Cropping And Patching)

本人多次机器学习与大数据竞赛Top5的经验总结，满满的干货，拿好不谢

various cv tools, such as label tools, data augmentation, label conversion, etc.

A Python library for audio data augmentation. Inspired by albumentations. Useful for machine learning.

a distributed Hyperband implementation on Steroids

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Machine learning model evaluation made easy: plots, tables, HTML reports, experiment tracking and Jupyter notebook analysis.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Jupyter notebooks from the scikit-learn video series

Komputation is a neural network framework for the Java Virtual Machine written in Kotlin and CUDA C.

An open-source, low-code machine learning library in Python

Building Convolutional Neural Networks From Scratch using NumPy

My Answer to 120 Data Science Interview Questions

Python for Data Science (Seminar Course at UC Berkeley; AY 250)

Extração de dados da API do CartolaFC, análise exploratória dos dados e modelos preditivos em R e Python - 2014-20. [EN] Data munging, analysis and modeling of CartolaFC - the most popular fantasy football game in Brazil and maybe in the world. Data cover years 2014-19.

人工智能学习路线图，整理近200个实战案例与项目，免费提供配套教材，零基础入门，就业实战！包括：Python，数学，机器学习，数据分析，深度学习，计算机视觉，自然语言处理，PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv等热门领域

Data Augmentation by Backtranslation (DAB) ヽ( •_-)ᕗ

open source for wechat-official-account (ID: PyDataLab)

Grokking Deep Reinforcement Learning

Code For Medium Article: "How To Create Natural Language Semantic Search for Arbitrary Objects With Deep Learning"

Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.

This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

Learn Deep Reinforcement Learning in 60 days! Lectures & Code in Python. Reinforcement Learning + Deep Learning

Interactive reports to analyze machine learning models during validation or production monitoring.

Data science portfolio

A minimal Automatic Machine Learning (AutoML) solution for tabular datasets based on PyTorch

Quiz & Assignment of Coursera

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Differentiable architecture search for convolutional and recurrent networks