6469 Open source projects that are alternatives of or similar to Installations_mac_ubuntu_windows

Build a CNN network to predict 3D bounding box of car from 2D image.

파이썬Python 강의에 사용되는 소스코드Source Code와 강의 자료들을 모은 repository 입니다.

🎄 Virtual DOM for Python

Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

Getting start with PySpark and MLlib

RDMA accelerated, high-performance, scalable and efficient ShuffleManager plugin for Apache Spark

Scripts/Notebooks used for my articles published on Medium

A toolkit to learn how to model and interpret regulatory sequence data using deep learning.

A Total-IDE Dark RStudio Theme inspired by Apple's dark aestheticcc.

Superpoint Implemented in PyTorch: https://arxiv.org/abs/1712.07629

Convolutional neural network analysis for predicting DNA sequence activity.

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PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

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A collection of notebook to learn the Applied Predictive Modeling using Python.

This trading-gym is the first trading for agent to train with episode of short term trading itself.

A collection of various deep learning architectures, models, and tips

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NAS-FPN: Learning Scalable Feature Pyramid Architecture for Object Detection.

Official mirror of https://gitlab.com/lfortran/lfortran. Please submit pull requests (PR) there. Any PR sent here will be closed automatically.

Well-documented Python demonstrations for spatial data analytics, geostatistical and machine learning to support my courses.

A collection of tools to collect and download various data.

This is the code for "Predicting the Winning Team with Machine Learning" by Siraj Raval on Youtube

Auto-ReID and Other Person Re-Identification Projects

전 세계의 멋진 케라스 문서 및 튜토리얼을 한글화하여 케라스x코리아를 널리널리 이롭게합니다.

The easiest way to use R package bookdown for writing varied types of books and documents

Set up your GitHub Actions workflow with conda via miniconda

A binary release of trained deep reinforcement learning models trained in the Atari machine learning benchmark, and a software release that enables easy visualization and analysis of models, and comparison across training algorithms.

A crash course in six episodes for software developers who want to become machine learning practitioners.

Text detection model that combines Retinanet with textboxes++ for OCR

pytorch handbook是一本开源的书籍，目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门，其中包含的Pytorch教程全部通过测试保证可以成功运行

Distributed Tensorflow, Keras and PyTorch on Apache Spark/Flink & Ray

A python package that includes many methods for decoding neural activity

Implementation of Deep Deterministic Policy Gradients using TensorFlow and OpenAI Gym

Official PyTorch Implementation for "Rotate to Attend: Convolutional Triplet Attention Module." [WACV 2021]

Repository for coursera specialization Applied Data Science with Python by University of Michigan

scikit-learn wrappers for Python fastText.

A tutorial for MNIST handwritten digit classification using sklearn, PyTorch and Keras.

Python version of Quantiacs toolbox and sample trading strategies

Auxiliary Classifier Generative Adversarial Networks in Keras

Building QA system for Stanford Question Answering Dataset

Python tutorials for introduction to machine learning

VQVAEs, GumbelSoftmaxes and friends

Python solutions to solve practical business problems.

Example of "biological" learning for MNIST

Decaf is DEPRECATED! Please visit http://caffe.berkeleyvision.org/ for Caffe, the new framework that has all the good things: GPU computation, full train/test scripts, native C++, and an active community!

Hierarchical Attention Networks for Chinese Sentiment Classification

Visualisation tool for CNNs in pytorch

中国象棋alpha zero程序

Code for my medium article

Pytorch implementation of set transformer

Feature engineering is the process of using domain knowledge to extract features from raw data via data mining techniques. These features can be used to improve the performance of machine learning algorithms. Feature engineering can be considered as applied machine learning itself.

《Machine Learning: A Probabilistic Perspective》（Kevin P. Murphy）中文翻译和书中算法的Python实现。

Stable-Baselines tutorial for Journées Nationales de la Recherche en Robotique 2019