1520 Open source projects that are alternatives of or similar to Hypergan

repo with challenge material for riceteacatpanda (2020)

Unsupervised Scale-consistent Depth and Ego-motion Learning from Monocular Video (NeurIPS 2019)

IVA: Independent Vector Analysis implementation

Python code to fuse multiple RGB-D images into a TSDF voxel volume.

JavaScript Digital Organisms simulator

Tutorial on creating your own GAN in Tensorflow

A GAN for the generation of mock astronomical surveys

Efficient Learning of Augmentation Policy Schedules

人脸和动漫脸的互转

[CVPR 2020 Workshop] A PyTorch GAN library that reproduces research results for popular GANs.

Toolbox of models, callbacks, and datasets for AI/ML researchers.

A Python Toolbox for Scalable Outlier Detection (Anomaly Detection)

A Neural Framework for MT Evaluation

Arnold - DOOM Agent

Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one.

High-performance Vision library in Python. Scale your research, not boilerplate.

Unsupervised ML algorithm for predictive modeling and time-series analysis

🔥🔥AidLearning is a powerful mobile development platform, AidLearning builds a linux env supporting GUI, deep learning and visual IDE on Android...Now Aid supports OpenCL (GPU+NPU) for high performance acceleration...Linux on Android or HarmonyOS

An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.

MelGAN vocoder (compatible with NVIDIA/tacotron2)

Paper collection of Neural Text Generation

Official code repo for the O'Reilly Book - Practical Deep Learning for Cloud, Mobile & Edge

This is one of the best vehicle recognition applications. It can determine the car's license plate number, color, model, brand and year.

Experiments for understanding disentanglement in VAE latent representations

⚡ Automatically decrypt encryptions without knowing the key or cipher, decode encodings, and crack hashes ⚡

ProGAN package implemented as an extension of PyTorch nn.Module

Thot toolkit for statistical machine translation

Serverless Inferencing on Kubernetes

Visual Studio Code client for TabNine. https://marketplace.visualstudio.com/items?itemName=TabNine.tabnine-vscode

Course demo code and other hand-out materials for our data-driven web apps in Flask course

Finding the genre of a song with Deep Learning

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

[ICCV 2019] "AutoGAN: Neural Architecture Search for Generative Adversarial Networks" by Xinyu Gong, Shiyu Chang, Yifan Jiang and Zhangyang Wang

PyTorch implementation of " Synthesizing Audio with Generative Adversarial Networks"

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

Chainer implementation of recent GAN variants

Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow

Deep Reinforcement Learning Framework + Algorithms

Disclaimer: This is not an official Google product.

Lets Learn AI

Interpretability and explainability of data and machine learning models

Resources to learn more about Machine Learning and Artificial Intelligence

Repository which contains links and resources on different topics of Computer Science.

Collection of various implementations and Codes in Machine Learning, Deep Learning and Computer Vision ✨💥

🌎 Complex Topics Explained For Your Level And Background. ✏️

A deep learning based gaze estimation framework implemented with PyTorch

Numenta Platform for Intelligent Computing is an implementation of Hierarchical Temporal Memory (HTM), a theory of intelligence based strictly on the neuroscience of the neocortex.

📈 Regression and Classification with UC Davis student quiz data and exam data

SEAN: Image Synthesis with Semantic Region-Adaptive Normalization (CVPR 2020, Oral)

Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization techniques.

A simple to use pytorch wrapper for contrastive self-supervised learning on any neural network

A Flexible and Powerful Parameter Server for large-scale machine learning

Starter Bot for Codingame's Coders Strike Back AI Challenge (Simulation Engine + Random Search)

Tensorflow implementation of the SRGAN algorithm for single image super-resolution

SSVM is a high performance, extensible, and hardware optimized WebAssembly Virtual Machine for cloud, AI, and blockchain applications.

PyTorch implementation of Deterministic Generative Adversarial Imitation Learning (GAIL) for Off Policy learning

PyTorch Implementation of DCGAN trained on the CelebA dataset.

Notes, examples, and Python demos for the textbook "Machine Learning Refined" (published by Cambridge University Press).

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations