anaconda

Official repository for Spyder - The Scientific Python Development Environment

中文 Python 笔记

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Introduction to Deep Neural Networks with Keras and Tensorflow

🛠 All-in-one web-based IDE specialized for machine learning and data science.

Anaconda turns your Sublime Text 3 in a full featured Python development IDE including autocompletion, code linting, IDE features, autopep8 formating, McCabe complexity checker Vagrant and Docker support for Sublime Text 3 using Jedi, PyFlakes, pep8, MyPy, PyLint, pep257 and McCabe that will never freeze your Sublime Text 3

Set up your GitHub Actions workflow with conda via miniconda

🎯 保姆级深度学习从入门到放弃 🤪 🤪

Installations for Data Science. Anaconda, RStudio, Spark, TensorFlow, AWS (Amazon Web Services).

대학 강의를 위한 강의자료 및 소스코드 저장소 Python Lecture slide & code for University Student.

PyTorch implementation of a deep metric learning technique called "Magnet Loss" from Facebook AI Research (FAIR) in ICLR 2016.

Tool for encapsulating, running, and reproducing data science projects

Packaged, Pytorch-based, easy to use, cross-platform version of the CRAFT text detector

Viewers for statistics and dashboarding of Domain Search Engine data

Scripts to help you set up your Ubuntu quickly, especially if you're in any subfield of Data Science or AI!

PyTorch wheels (whl) & conda for aarch64 / ARMv8 / ARM64, with vision, audio, text & csprng

The smallest Docker image with Miniconda3 (Python 3.7) (~143MB)

Clone with Python! Data structures for double stranded DNA & simulation of homologous recombination, Gibson assembly, cut & paste cloning.

A conda tool to work with multiple projects in development mode.

Introduction to Python: Numerical Analysis for Engineers and Scientist. In 2017, Python became the world's most popular programming language. This course covers the basic syntax, linear algebra, plotting, and more to prepare students for solving numerical problems with Python.

Implementation of Conda's activate/deactivate functions in Powershell.

A python module for configuration of block devices

Library to generate call graph for cpp functions

My Solution to Assignments of CS231n in Winter2016

A Keras multi-input multi-output LSTM-based RNN for object trajectory forecasting

🔬 Some personal research code on analyzing CNNs. Started with a thorough exploration of Stanford's Tiny-Imagenet-200 dataset.

Considering the big change that the world is facing, as well as our lives due to the COVID-19, we provide to people and companies a complete open-source tool to analyze the social distancing for streets, parks, offices, and even crowded places like malls, train stations, and others.

An Introduction to Programming in Python