5921 Open source projects that are alternatives of or similar to Stereo Transformer

Multi-Graph Convolutional Neural Networks

Tutorials for creating and using ONNX models

Some code examples gathered during my Month of Julia.

Solving NLP problems with Vowpal Wabbit: Tutorial and more

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

書籍「つくりながら学ぶ！深層強化学習」のサポートリポジトリです

Home for Elasticsearch examples available to everyone. It's a great way to get started.

Tensorflow's Fairness Evaluation and Visualization Toolkit

Go binding for TensorFlow Lite

an numpy-based implement of PointRend

点睛 - 头条号文章标题生成工具 （Dianjing, AI to write Title for Articles）

A very lightweight Python wrapper to the Philips Hue API

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

Machine Learning Tutorials in Python

This is the code for the "Classifying Data using Gradient Descent" by Siraj Raval on Youtube

中文文本错别字检测以及自动纠错 / Autochecker & autocorrecter for chinese

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

Simplified implementations of deep learning related works

Deep learning infrastructure for bioinformatics

A collection of tools to collect and download various data.

Material for the tutorial: "Deep Diving into GANs: from theory to production"

Implemented digit detector in natural scene using resnet50 and Yolo-v2. I used SVHN as the training set, and implemented it using tensorflow and keras.

Python is a multi-paradigm programming language. Meaning, it supports different programming approach. One of the popular approach to solve a programming problem is by creating objects. This is known as Object-Oriented Programming (OOP).

Auto-ReID and Other Person Re-Identification Projects

This Jupyter Notebook will help you downloading Coursera videos, subtitles and quizzes (but not answering the quiz). It will automatically download and convert vtt subtitle files into srt. All resources downloaded are numbered according to their sequence.

🏆 A ranked list of awesome Jupyter Notebook, Hub and Lab projects (extensions, kernels, tools). Updated weekly.

北京邮电大学“网络搜索原理”课程资料(2019)

Automatic image captioning model based on Caffe, using features from bottom-up attention.

MLSS 2018 Madrid lecture materials on Generative Adversarial Networks (GANs)

PyTorch implementation of VQ-VAE by Aäron van den Oord et al.

Progressive training of GANs with Mutual Information Penalty

A Case Study Approach to Successful Data Science Projects Using Python, Pandas, and Scikit-Learn

a sklearn wrapper for Google's BERT model

A curated list of Machine Learning and Deep Learning tutorials in Jupyter Notebook format ready to run in Google Colaboratory

Codes related to various ML Hackathons

A practical feature engineering handbook

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Scripts and code examples. Includes Spark notes, Jupyter notebook examples for Spark, Impala and Oracle.

A set of Deep Reinforcement Learning Agents implemented in Tensorflow.

Stanford

InferSent sentence embeddings

A TensorFlow implementation of Multi-digit Number Recognition from Street View Imagery using Deep Convolutional Neural Networks (http://arxiv.org/pdf/1312.6082.pdf)

subpixel: A subpixel convnet for super resolution with Tensorflow

Notebooks for Course

Project which implements extraction of data from scatter plots

吴恩达机器学习coursera课程，学习代码(2017年秋) The Stanford Coursera course on MachineLearning with Andrew Ng

Keras implementation of the paper "3D MRI brain tumor segmentation using autoencoder regularization" by Myronenko A. (https://arxiv.org/abs/1810.11654).

Explainable AI framework for data scientists. Explain & debug any blackbox machine learning model with a single line of code.

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

Tutorial on "Modern Optimization Methods in Python"

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

Python solutions to solve practical business problems.

Ray tutorials from Anyscale

Code for the paper "PortraitNet: Real-time portrait segmentation network for mobile device" @ CAD&Graphics2019

Urban Informatics and Visualization (UC Berkeley CP255)

An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models