6271 Open source projects that are alternatives of or similar to Pytorch Byol

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

Ray tutorials from Anyscale

An automatic beatmap generator using Tensorflow / Deep Learning.

Python solutions to solve practical business problems.

Pytorch implementation of HighRes-net, a neural network for multi-frame super-resolution, trained and tested on the European Space Agency’s Kelvin competition.

Jupyter notebooks and other materials developed for the Columbia course APMA 4300

The BlazeFace face detector model implemented in PyTorch

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

🌱 Deep Learning for Instance Segmentation of Agricultural Fields - Master thesis

CARTO Python package for data scientists

中国象棋alpha zero程序

《统计学习方法》（第一版）习题解答，在线阅读地址：https://datawhalechina.github.io/statistical-learning-method-solutions-manual

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

Learning Depth from Monocular Videos using Direct Methods, CVPR 2018

《统计学习方法》的代码实现

Tutorial on "Modern Optimization Methods in Python"

A neural network that transforms a design mock-up into a static website.

Paper: CVPR2018, Learning Rich Features for Image Manipulation Detection

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

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

Code and Dataset for CVPR2020 "Dynamic Refinement Network for Oriented and Densely Packed Object Detection"

CNN image style transfer 🎨.

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

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

Some code examples gathered during my Month of Julia.

Pytorch version of Realtime Multi-Person Pose Estimation project

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.

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

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

exercise for nndl

Russian language models for spaCy

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

Simplified implementations of deep learning related works

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

Unsupervised Scalable Representation Learning for Multivariate Time Series: Experiments

Deep learning framework for wearable activity recognition based on convolutional and LSTM recurretn layers

从零基础开始机器学习之旅

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

Notebooks for Course

emoji2vec: Learning Emoji Representations from their Description

MTCNN with Motion Detection, on Raspberry Pi with Love

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

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

Stanford

Some practices about deep learning

Use the Mask RCNN for the human pose estimation

Trading Bot with focus on Evolutionary Algorithms and Machine Learning

Coding exercises for the Natural Language Processing concentration, part of Udacity's AIND program.

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

Machine Learning for finance and investment introduction

Pytorch code for ECCV 2018 paper

Machine Learning and Deep Learning Resources

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

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

What scientific programmers must know about CPUs and RAM to write fast code.

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 PyTorch implementation of GraphRel

A python package that includes many methods for decoding neural activity