6665 Open source projects that are alternatives of or similar to Computer Vision

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

Microsoft Azure Traces

Platform for designing and evaluating Graph Neural Networks (GNN)

RAPIDS Community Notebooks

Profile and monitor your ML data pipeline end-to-end

DataScience projects for learning : Kaggle challenges, Object Recognition, Parsing, etc.

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

🌈 Tutorials for Supervise.ly

A collection of pre-trained, state-of-the-art models in the ONNX format

machine learning with logical rules in Python

Jupyter notebook tutorials from QuantConnect website for Python, Finance and LEAN.

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

An Octave kernel for IPython

This repo is the codebase for our team to participate in DOTA related competitions, including rotation and horizontal detection.

Github repo with tutorials to fine tune transformers for diff NLP tasks

Machine Learning Experiments and Work

Teaching and Learning with Jupyter

Ephemera and other documentation associated with the 1337list project.

A Bokeh project developed for learning and teaching Bokeh interactive plotting!

Object detection in images, and tracking across video frames

Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data

https://harvard-iacs.github.io/2019-CS109A/

Speech Recognition with the Caffe deep learning framework, migrating to

Neural question generation using transformers

A PyTorch implementation of "Graph Wavelet Neural Network" (ICLR 2019)

CCF BDCI 2019 互联网新闻情感分析 复赛top1解决方案

最近在学习机器学习，深度学习，自然语言处理，统计学习方法等知识，理论学习主要根据readme的链接，在学习理论的同时，决定自己将学习的相关算法用Python实现一遍，并结合GitHub上相关大牛的代码进行改进，本项目会不断的更新相关算法，欢迎star，fork和关注。 主要包括： 1.吴恩达Andrew Ng老师的机器学习课程作业个人笔记 Python实现， 2.deeplearning.ai（吴恩达老师的深度学习课程笔记及资源） Python实现， 3.李航《统计学习方法》 Python代码实现， 4.自然语言处理NLP 牛津大学xDeepMind Python代码实现， 5.LeetCode刷题，题析，分析心得笔记 Java和Python代码实现， 6.TensorFlow人工智能实践代码笔记 北京大学曹健老师课程和TensorFlow：实战Google深度学习框架（第二版） Python代码实现， 附带一些个人心得和笔记。GitHub上有很多机器学习课程的代码资源，我也准备自己实现一下，后续会更新笔记，代码和百度云网盘链接。 这个项目主要是学习算法的，并且会不断更新相关资源和代码，欢迎关注，star，fork！ Min's blog 欢迎访问我的博客主页！ (Welcome to my blog website !)https://liweimin1996.github.io/

Automatic headphone equalization from frequency responses

Coursera/Stanford Machine Learning course assignments in python

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

General statistics, mathematical programming, and numerical/scientific computing scripts and notebooks in Python

Educational notebooks on quantitative finance, algorithmic trading, financial modelling and investment strategy

Learning about and doing projects with recurrent neural networks

Probabilistic reasoning and statistical analysis in TensorFlow

Picture and specifications scraper

Apply custom CSS styling to your jupyter notebooks

Reference code for "Motion-supervised Co-Part Segmentation" paper

Joyplots in Python with matplotlib & pandas 📈

Materials for DGL hands-on tutorial in WWW 2020

Machine Learning interview prep guide

VPGNet: Vanishing Point Guided Network for Lane and Road Marking Detection and Recognition (ICCV 2017)

A tutorial on Julia DataFrames package

A Keras model that addresses the Quora Question Pairs dyadic prediction task.

Repository for the tutorial on Sequence-Aware Recommender Systems held at TheWebConf 2019 and ACM RecSys 2018

Machine Learning with Text in scikit-learn

2019 KAIST 딥러닝 홀로서기 세미나용 저장소입니다.

Introduction to python use in geosciences.

En formato estándar

Notes on Scientific Computing for Biomechanics and Motor Control

🎨 Pytorch YOLO v5 训练自己的数据集超详细教程！！！ 🎨 (提供PDF训练教程下载）

Combining satellite imagery and machine learning to predict poverty

Machine Learning algorithms implemented from scratch

🐍 Python Programs

An implementation of "MixHop: Higher-Order Graph Convolutional Architectures via Sparsified Neighborhood Mixing" (ICML 2019).

An out-of-box human parsing representation extractor.

If you want to use Python for text analysis, this course is for you!

百度云魅族深度学习应用大赛