6295 Open source projects that are alternatives of or similar to Pointrend Pytorch

Kaggle Struggle

A fast and lightweight AutoML library.

个人的技能树仓库，主要包含个人机器学习以及深度学习的笔记

A clear, concise, simple yet powerful and efficient API for deep learning.

Quantitative finance research tools in Python

This is an LSTM stock prediction using Tensorflow with Keras on top.

Representation learning for link prediction within social networks

Data Engineering on Google Cloud Platform

18.335 - Introduction to Numerical Methods course

This is the PyTorch implementation of VGG network trained on CIFAR10 dataset

Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.

Self hosted alternative to Google Photos

AraVec is a pre-trained distributed word representation (word embedding) open source project which aims to provide the Arabic NLP research community with free to use and powerful word embedding models.

An introduction to data science in Python, for people with no programming experience.

👩🏻‍⚕️Covid-19 estimation and forecast using statistical model; 新型冠状病毒肺炎统计模型预测 (Jan 2020)

summer school coursework

Hierarchical Attention Networks for Chinese Sentiment Classification

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

Code for my medium article

An IDA Pro Plugin for embedding an IPython Kernel

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

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

Learn OpenCV : C++ and Python Examples

Guided Evolutionary Strategies

A Deep Learning based project for colorizing and restoring old images (and video!)

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

Code for Concrete Dropout as presented in https://arxiv.org/abs/1705.07832

code for R-C3D

Pytorch version of Realtime Multi-Person Pose Estimation project

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!

Russian language models for spaCy

Gradient based receptive field estimation for Convolutional Neural Networks

Multi-hop knowledge graph reasoning learned via policy gradient with reward shaping and action dropout

The accompanying files for the book 'Dataviz with Python and JavaScript'

A collection of Jupyter Notebooks for learning Python for Data Science.

三个月教你从零入门深度学习Tensorflow版配套代码

emoji2vec: Learning Emoji Representations from their Description

Compared performance of KNN, SVM, BPNN, CNN, Transfer Learning (retrain on Inception v3) on image classification problem. CNN is implemented with TensorFlow

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

Machine Learning for finance and investment introduction

Simple Implementation of many GAN models with PyTorch.

Ten Simple Rules for Writing and Sharing Computational Analyses in Jupyter Notebooks

ENet - A Neural Net Architecture for real time Semantic Segmentation

Real Time Big Data / IoT Machine Learning (Model Training and Inference) with HiveMQ (MQTT), TensorFlow IO and Apache Kafka - no additional data store like S3, HDFS or Spark required

A collection of tutorials on neural networks, using Theano

Dense Depth for Autonomous Driving (DDAD) dataset.

A curated list of dedicated resources and applications

These are my learning exercices from Coursera

18.S096 three-week course at MIT

Open Content for self-directed learning in data science

Visual Question Answering Demo on pretrained model

Examples of using deep learning in Bioinformatics

Seed, Expand, Constrain: Three Principles for Weakly-Supervised Image Segmentation

A sample code of data augmentation methods for wearable sensor data (time-series data)

A minimal Jupyter Notebook theme

AIND Term 2 -- Lesson on Convolutional Neural Networks

2018-JDDC大赛第4名的解决方案

Natural Language Processing with TensorFlow, published by Packt