2486 Open source projects that are alternatives of or similar to Deep Learning With Pytorch Tutorials

Composable GAN framework with api and user interface

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brain.js is a GPU accelerated library for Neural Networks written in JavaScript.

TensorFlow Tutorials

Tutorials on getting started with PyTorch and TorchText for sentiment analysis.

Semi-Supervised Video Object Segmentation (VOS) with Tensorflow. Includes implementation of *MaskRNN: Instance Level Video Object Segmentation (NIPS 2017)* as part of the NIPS Paper Implementation Challenge.

Simplest working implementation of Stylegan2, state of the art generative adversarial network, in Pytorch. Enabling everyone to experience disentanglement

Be Driven 🚘

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Traffic Sign Detection. Code for the paper entitled "Evaluation of deep neural networks for traffic sign detection systems".

A project designed to explore CNN and the effectiveness of RCNN on classifying the EMNIST dataset.

Simple and comprehensive tutorials in TensorFlow

PyTorch/Tensorflow solutions for Stanford's CS231n: "CNNs for Visual Recognition"

Tutorial on GANs

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This repo contains the source code in my personal column (https://zhuanlan.zhihu.com/zhaoyeyu), implemented using Python 3.6. Including Natural Language Processing and Computer Vision projects, such as text generation, machine translation, deep convolution GAN and other actual combat code.

SimpleDNN is a machine learning lightweight open-source library written in Kotlin designed to support relevant neural network architectures in natural language processing tasks

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Anomaly detection implemented in Keras

If you've always wanted to learn about deep-learning but don't know where to start, then you might have stumbled upon the right place!

Implementation of State-of-the-art Text Classification Models in Pytorch

A complete guide to start and improve in machine learning (ML), artificial intelligence (AI) in 2021 without ANY background in the field and stay up-to-date with the latest news and state-of-the-art techniques!

Efficient Learning of Augmentation Policy Schedules

VIP cheatsheets for Stanford's CS 230 Deep Learning

A set of functions for supervised feature learning/classification of mental states from EEG based on "EEG images" idea.

R interface to the keras library

A tutorial on how to implement models for part-of-speech tagging using PyTorch and TorchText.

PyTorch tutorial for learners

🦋A PyTorch implementation of BigGAN with pretrained weights and conversion scripts.

SincNet is a neural architecture for efficiently processing raw audio samples.

This is just a collection of projects that made during my DEEPLEARNING NANODEGREE by UDACITY

💻 Make machines learn so that you don't have to struggle to program them; The ultimate list

Tensorflow implementation of "Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network" (Ledig et al. 2017)

This toolbox is support material for the book on CNN (http://www.convolution.network).

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Keras (tensorflow) implementation of SincNet (Mirco Ravanelli, Yoshua Bengio - https://github.com/mravanelli/SincNet)

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A Pytorch implementation of Stylegan2 with UNet Discriminator

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Official PyTorch implementation of "Artist Style Transfer Via Quadratic Potential"

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Some of the ML and DL related reading materials, research papers that I've read

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Biologically-realistic recurrent convolutional neural networks

Deepmind Recurrent Environment Simulators paper implementation in tensorflow

3D reconstruction with neural networks using Tensorflow. See link for Video (https://www.youtube.com/watch?v=iI6ZMST8Ri0)

DensePoint: Learning Densely Contextual Representation for Efficient Point Cloud Processing (ICCV 2019)

deeplearning.ai , By Andrew Ng, All video link

Code and data for the paper 'Classifying Graphs as Images with Convolutional Neural Networks' (new title: 'Graph Classification with 2D Convolutional Neural Networks')

pip install antialiased-cnns to improve stability and accuracy

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A Neural Networking library based on NumPy only

LeagueAI software framework for League of Legends that provides information about the state of the game based on Image Recognition using OpenCV and Pytorch.

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