517 Open source projects that are alternatives of or similar to The Incredible Pytorch

machine learning and deep learning tutorials, articles and other resources

Lets Learn AI

Примеры для курса "Программирование глубоких нейронных сетей на Python"

This is an open sourced book on deep learning.

📢 Ready to learn or review your knowledge!

Deep Learning Library. For education. Based on pure Numpy. Support CNN, RNN, LSTM, GRU etc.

🍃 Using a Neural Network to improve web accessibility in JavaScript.

deeplearning.ai , By Andrew Ng, All video link

Collection of lectures and lab lectures on machine learning and deep learning. Lab practices in Python and TensorFlow.

Bitcoin price Prediction ( Time Series ) using LSTM Recurrent neural network

IEEE "Invited Talk on Deep Learning" 03/02/2018

Android TensorFlow MachineLearning MNIST Example (Building Model with TensorFlow for Android)

Android TensorFlow MachineLearning Example (Building TensorFlow for Android)

Backtest 1000s of minute-by-minute trading algorithms for training AI with automated pricing data from: IEX, Tradier and FinViz. Datasets and trading performance automatically published to S3 for building AI training datasets for teaching DNNs how to trade. Runs on Kubernetes and docker-compose. >150 million trading history rows generated from +5000 algorithms. Heads up: Yahoo's Finance API was disabled on 2019-01-03 https://developer.yahoo.com/yql/

Descriptive Deep Learning

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Code repo for "Deep Generative Adversarial Residual Convolutional Networks for Real-World Super-Resolution" (CVPRW NTIRE2020).

Try out deep learning models online on Google Colab

🔮Deep Learning for text made easy with AllenNLP

This repository will contain the example detailed codes of Tensorflow and Keras, This repository will be useful for Deep Learning staters who find difficult to understand the example codes

Data-centric declarative deep learning framework

R Interface to Open Neural Network Exchange (ONNX)

tensorflow implementation of Exploring Randomly Wired Neural Networks for Image Recognition

Unwrapping Black Box of ReLU DNNs

Deep Learning Toolbox for Torch

Python Library for Model Interpretation/Explanations

Deep Learning the Chemistry of Materials From Only Elemental Composition for Enhancing Materials Property Prediction

Band-Adaptive Spectral-Spatial Feature Learning Deep Neural Network for Hyperspectral Image Classification

PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.

The collection of training tricks of binarized neural networks.

Mostly free resources for end-to-end machine learning engineering, including open courses from CalTech, Columbia, Berkeley, MIT, and Stanford (in alphabetical order).

Notes and experiments to understand deep learning concepts

High Quality Monocular Depth Estimation via Transfer Learning

A Natural Language Toolkit for Indian Languages

THEANO-KALDI-RNNs is a project implementing various Recurrent Neural Networks (RNNs) for RNN-HMM speech recognition. The Theano Code is coupled with the Kaldi decoder.

Implementation of RNN for Time Series prediction from the paper https://arxiv.org/abs/1704.02971

🚀 The TensorFlow Object Counting API is an open source framework built on top of TensorFlow and Keras that makes it easy to develop object counting systems!

JAX-based neural network library

Semantic Scene Completion

Service Classification based on Service Description

Useful information about PyTorch modules (FLOPs, MACs, receptive field, etc.)

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

A simple and useful implementation of LPIPS.

GPU accelerated Deep Belief Network

Tensorflow Backend for ONNX

collection of utilities to use with deep learning libraries (e.g. caffe)

Awesome artificial intelligence in cancer diagnostics and oncology

Sequence-to-sequence framework with a focus on Neural Machine Translation based on Apache MXNet

Pruning and other network surgery for trained TF.Keras models.

An implementation of zoneout regularizer on LSTM-RNN by Tensorflow

A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

DeepFake Detection: Detect the video is fake or not using InceptionResNetV2.

A Swift deep learning library with Accelerate and Metal support.

DeText: A Deep Neural Text Understanding Framework for Ranking and Classification Tasks

The implementation of Relativistic average GAN with Keras

3-day dive into deep learning at csc

The Medical Detection Toolkit contains 2D + 3D implementations of prevalent object detectors such as Mask R-CNN, Retina Net, Retina U-Net, as well as a training and inference framework focused on dealing with medical images.