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

Streaming over lightweight data transformations

Top 100 trending deep learning repositories sorted by the number of stars gained on a specific day.

Rumale is a machine learning library in Ruby

Notes for the Reinforcement Learning course by David Silver along with implementation of various algorithms.

TensorFlow Tutorials

📰 Brazilian government gazettes, accessible to everyone.

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码，实战教程。

Re-implementation of TensorFlow in pure python, with an emphasis on code understandability

SincNet is a neural architecture for efficiently processing raw audio samples.

Otto makes machine learning an intuitive, natural language experience. 🏆 Facebook AI Hackathon winner ⭐️ #1 Trending on MadeWithML.com ⭐️ #4 Trending JavaScript Project on GitHub ⭐️ #15 Trending (All Languages) on GitHub

Machine learning contest - October 2016 TLE

Notes and experiments to understand deep learning concepts

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.

A deep learning based gaze estimation framework implemented with PyTorch

Some awesome AI related books and pdfs for learning and downloading, also apply some playground models for learning

Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

真AI人工智能

My Answer to 120 Data Science Interview Questions

Grokking Deep Reinforcement Learning

PHP-ML - Machine Learning library for PHP

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

apricot implements submodular optimization for the purpose of selecting subsets of massive data sets to train machine learning models quickly. See the documentation page: https://apricot-select.readthedocs.io/en/latest/index.html

Carefully curated resource links for data science in one place

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

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

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

Google Brain AutoML

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

60_Days_RL_Challenge中文版

🧬 A JupyterLab extension for annotating data with Prodigy

Semantic segmentation on iPhone using ESPNetv2

pip install antialiased-cnns to improve stability and accuracy

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

Top 200 deep learning Github repositories sorted by the number of stars.

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.

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

Data science portfolio

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

A collection of reference machine learning and optimization models for enterprise operations: marketing, pricing, supply chain

Research on Texas Hold'em AI

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

Predictive AI layer for existing databases.

Experiment tracking for machine and deep learning projects

Vehicle detection using YOLO in Keras runs at 21FPS

My journey to learn and grow in the domain of Machine Learning and Artificial Intelligence by performing the #100DaysofMLCode Challenge.

🌓 Bringing pjreddie's DarkNet out of the shadows #yolo

DataStructure(SwordOffer、LeetCode)、Deep Learning(Tensorflow、Keras、Pytorch)、Machine Learning(sklearn、spark)、AutoML、AutoDL、ModelDeploying、SQL

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

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

Probabilistic reasoning and statistical analysis in TensorFlow

Fast and flexible AutoML with learning guarantees.

Unofficial PyTorch Reimplementation of RandAugment.

Awesome Artificial Intelligence Projects

useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html

Differentiable architecture search for convolutional and recurrent networks

Repository for most of the code from my YouTube channel