6108 Open source projects that are alternatives of or similar to Ipytest

Python Deep Learning Projects, published by Packt

PyTorch conversion of https://omoindrot.github.io/triplet-loss

For a mini tutorial at U of T, a tutorial on MNIST classification in Keras.

A general framework for interpreting wide-band neural activity

Examples of single-cell genomic analysis accelerated with RAPIDS

Various material around private machine learning, some associated with blog

3d plotting for Python in the Jupyter notebook based on IPython widgets using WebGL

Course materials for the Automating GIS processes -course, University of Helsinki, Finland

Python based framework to retreive Global Database of Events, Language, and Tone (GDELT) version 1.0 and version 2.0 data.

Notes on the Deep Learning book from Ian Goodfellow, Yoshua Bengio and Aaron Courville (2016)

Demonstrations of JupyterLab

FinRL: Financial Reinforcement Learning Framework. Please star. 🔥

Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)

Code For Medium Article "How To Create Data Products That Are Magical Using Sequence-to-Sequence Models"

A very simple gesture recognition technique using opencv and python

Spatial Attentive Single-Image Deraining with a High Quality Real Rain Dataset (CVPR'19)

PyTorch Implementation of Session-based Recommendations with Recurrent Neural Networks(ICLR 2016, Hidasi et al.)

Fetching financial data for technical & fundamental analysis and algorithmic trading from a variety of python packages and sources.

🐍 Example Python project using best practices 🔩

Reinforcement Learning examples implementation and explanation

Toda semana um novo material estará disponível para guiar no estudo de ciência de dados =)

Code for "Learning Perceptually-Aligned Representations via Adversarial Robustness"

Training MNIST with CoreML on Device

Multi-Person Pose Estimation project for Tensorflow 2.0 with a small and fast model based on MobilenetV3

Tutorial on scikit-learn and IPython for parallel machine learning

1st place solution

MindSpore document

Introductory Statistical Inference

Repository containing monthly challenges about quantum computing.

General Purpose Risk Modeling and Prediction Toolkit for Policy and Social Good Problems

Mirror of Apache Open Climate Workbench

A store of Helm chart tarballs for deploying JupyterHub and BinderHub on a Kubernetes cluster

A collection of IPython notebooks using QuTiP: examples, tutorials, development test, etc.

Code for ICCV2017 paper: Deeply-Learned Part-Aligned Representations for Person Re-Identification

UC Berkeley's software and documentation for Breakthrough Listen data

This is a jupyter practical tutorial. Welcome to edit together!

PyDy tutorial materials for MASB 2014, PYCON 2014, and SciPy 2014/2015.

A repository to house model building experiments and tools that are part of the Conversation AI effort.

Detect and recognize The Simpsons characters using Keras and Faster R-CNN

Python Artificial Intelligence Projects for Beginners, published by Packt

CNN image classifier implemented in Keras Notebook 🖼️.

Pytorch implementation of Neural Processes for functions and images 🎆

Time Series Analysis & Forecasting of Rossmann Sales with Python. EDA, TSA and seasonal decomposition, Forecasting with Prophet and XGboost modeling for regression.

An open source library for interacting with and processing radar data, specialized for MIMO mmWave radars

experiments and snippets used on the blog

A library that integrates huggingface transformers with version 2 of the fastai framework

Fit 3DMM to front and side face images simultaneously.

Use Transformers and LSTMs to learn Python source code

A neural conversation model

中文聊天机器人，基于10万组对白训练而成，采用注意力机制，对一般问题都会生成一个有意义的答复。已上传模型，可直接运行，跑不起来直播吃键盘。

Some Python tips for beginner to intermediate users. Also used as a personal cheat sheet. Featured here https://bit.ly/2ZaV4Pl

Code, data and benchmark from the paper "Benchmarking Robustness in Object Detection: Autonomous Driving when Winter is Coming" (NeurIPS 2019 ML4AD)

全中文注释.(The loss function of retinanet based on pytorch).(You can use it on one-stage detection task or classifical task, to solve data imbalance influence).用于one-stage目标检测算法,提升检测效果.你也可以在分类任务中使用该损失函数,解决数据不平衡问题.

General optimization (LP, MIP, QP, continuous and discrete optimization etc.) using Python

A Cytoscape Jupyter widget