5921 Open source projects that are alternatives of or similar to Aipnd

Machine Learning

Faster R-CNN for Open Images Dataset by Keras

Course material for STAT 479: Deep Learning (SS 2019) at University Wisconsin-Madison

tensorflow学习笔记，来源于电子书：《Tensorflow实战Google深度学习框架》

A lightweight, multi-tenant, scalable and secure gateway that enables Jupyter Notebooks to share resources across distributed clusters such as Apache Spark, Kubernetes and others.

Codes for Kaggle Competitions

The textbook Computational and Inferential Thinking: The Foundations of Data Science

IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)

Pelican plugin for blogging with Jupyter/IPython Notebooks

This is the code for "A Guide to Building Your First Decentralized Application" by Siraj Raval on Youtube

Course repo for Applied Natural Language Processing (Spring 2019)

TensorFlow implementation for audio neural style.

Keras, PyTorch, and NumPy Implementations of Deep Learning Architectures for NLP

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

✨ The extension for Altair, matplotlib, and Plotly animations

My implementation of the original transformer model (Vaswani et al.). I've additionally included the playground.py file for visualizing otherwise seemingly hard concepts. Currently included IWSLT pretrained models.

Solve captcha without manually labeling a training set

Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.

Companion repository for the book Building Machine Learning Powered Applications

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

Coursera/Stanford Machine Learning course assignments in python

A library providing various existing GANs in PyTorch.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Source code of RRPN ---- Arbitrary-Oriented Scene Text Detection via Rotation Proposals

An example of doing MovieLens recommendations using triplet loss in Keras

Code for Agile Data Science 2.0, O'Reilly 2017, Second Edition

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

I am a full-stack engineer for AI projects, glad to share my experience. pratices make the top engineer.

python教程，包括：python基础、python进阶；常用机器学习库：numpy、scipy、sklearn、xgboost；深度学习库：keras、tensorflow、paddle、pytorch。

OCR software for recognition of handwritten text

A library for developing deep generative models in a more concise, intuitive and extendable way

follow me and learn python easily

Transfer Learning Library

Coursera Open Courses from University of Toronto

Presentations from H2O meetups & conferences by the H2O.ai team

Optical Flow Prediction with TensorFlow. Implements "PWC-Net: CNNs for Optical Flow Using Pyramid, Warping, and Cost Volume," by Deqing Sun et al. (CVPR 2018)

Machine Learning with Text in scikit-learn

This is a repo documenting the best practices in PySpark.

Code and models of paper " ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

A simple probabilistic programming language.

A series of Python Jupyter notebooks that help you better understand "The Elements of Statistical Learning" book

Data Science Best Practices with pandas

skimage-tutorials: a collection of tutorials for the scikit-image package.

Generator Bootcamp Material: Learn Chisel the Right Way

Pytorch implementation of JointVAE, a framework for disentangling continuous and discrete factors of variation 🌟

Named Tensor implementation for Torch

A single jupyter notebook multi gpu VAE-GAN example with latent space algebra and receptive field visualizations.

《TensorFlow 快速入门与实战》和《TensorFlow 2 项目进阶实战》课程代码与课件

A university quantum algorithms/computation course supplement based on Qiskit

A smaller subset of 10 easily classified classes from Imagenet, and a little more French

Real numbers, data science and chaos: How to fit any dataset with a single parameter

Python on Zynq FPGA for Convolutional Neural Networks

A tutorial demonstrating how to implement deep learning models for time series forecasting

这个仓库保管从（数据科学学习手札69）开始的所有代码、数据等相关附件内容

😺 Running Hashcat on Google Colab with session backup and restore.