540 Open source projects that are alternatives of or similar to Biggan Pytorch

Implementation of the paper "Adversarial Attacks on Graph Neural Networks via Meta Learning".

🤖 MatLab/Octave examples of popular machine learning algorithms with code examples and mathematics being explained

💥 Fast matrix-multiplication as a self-contained Python library – no system dependencies!

A Python library for creating and simulating large-scale brain models

An Echo State Network module for PyTorch.

Machine Learning tutorials with TensorFlow 2 and Keras in Python (Jupyter notebooks included) - (LSTMs, Hyperameter tuning, Data preprocessing, Bias-variance tradeoff, Anomaly Detection, Autoencoders, Time Series Forecasting, Object Detection, Sentiment Analysis, Intent Recognition with BERT)

Pytorch implementation of Block Neural Autoregressive Flow

Tez is a super-simple and lightweight Trainer for PyTorch. It also comes with many utils that you can use to tackle over 90% of deep learning projects in PyTorch.

An official PyTorch implementation of the paper "Text-Adaptive Generative Adversarial Networks: Manipulating Images with Natural Language", NeurIPS 2018

Visualization toolkit for neural networks in PyTorch! Demo -->

Accelerate Neural Net Training by Progressively Freezing Layers

TensorFlow implementation of the Value Iteration Networks (NIPS '16) paper

[IMC 2020 (Best Paper Finalist)] Using GANs for Sharing Networked Time Series Data: Challenges, Initial Promise, and Open Questions

Build Graph Nets in Tensorflow

Official implementation of FQ-GAN

Enhance your application with the ability to see and interact with humans using any RGB camera.

🏖TagEditor - Annotation tool for spaCy

Monthly Series - Top 10 Machine Learning Articles

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

A probabilistic programming language in TensorFlow. Deep generative models, variational inference.

Race and ethnicity Imputation from Disease history with Deep LEarning

Message Passing Neural Networks for Molecule Property Prediction

[ACM MM 2018 Oral] GestureGAN for Hand Gesture-to-Gesture Translation in the Wild

darknet neural network addon for openFrameworks

📝 Подборка ресурсов по машинному обучению

Deep Learning Specialization by Andrew Ng on Coursera.

Brain Modeling Toolkit

Implementations of (theoretical) generative adversarial networks and comparison without cherry-picking

🐥A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

Lab Materials for MIT 6.S191: Introduction to Deep Learning

Unity Machine Learning Agents Toolkit

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

Koç University deep learning framework.

A wrapper around tensor2tensor to flexibly train, interact, and generate data for neural chatbots.

Graph Attention Networks (https://arxiv.org/abs/1710.10903)

DN2A - Digital Neural Networks Architecture

Official Pytorch code for (AAAI 2020) paper "Capsule Routing via Variational Bayes", https://arxiv.org/pdf/1905.11455.pdf

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

Example projects I completed to understand Deep Learning techniques with Tensorflow. Please note that I do no longer maintain this repository.

PyTorch Tutorial for Deep Learning Researchers

Deep Learning Toolkit for Medical Image Analysis

An in-depth machine learning tutorial introducing readers to a whole machine learning pipeline from scratch.

🎧 Automatic Speech Recognition: DeepSpeech & Seq2Seq (TensorFlow)

PyTorch implementations of algorithms for density estimation

An implementation of DiscoGAN in tensorflow

Generative Adversarial Transformers

Discovering Neural Wirings (https://arxiv.org/abs/1906.00586)

Deep learning library for solving differential equations and more

人工智能论文关键点集结。This project aims to collect key points of AI papers.

A single / multi layer / recurrent neural network written in Golang.

Code for "A-NICE-MC: Adversarial Training for MCMC"

This repository stores the files used for my summer internship's work on "teacher-student learning", an experimental method for training deep neural networks using a trained teacher model.

Finding the genre of a song with Deep Learning

DeepSMILES - A variant of SMILES for use in machine-learning

RadIO is a library for data science research of computed tomography imaging

✨Fast Coreference Resolution in spaCy with Neural Networks

DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.

A neural network for end-to-end music source separation

LATEX: TikZ package for drawing neural networks. Also available on CTAN at http://www.ctan.org/tex-archive/graphics/pgf/contrib/neuralnetwork