a reccurrent neural netowrk that when trained on a peice of text and fed a starting prompt will write its on 250 character text using LSTM layers This code is desgined to be used in google collab split into boxes. so if you use it out of collab u might run into issues
EfficientTTS Unofficial Pytorch implementation of "EfficientTTS: An Efficient and High-Quality Text-to-Speech Architecture"(arXiv). Disclaimer: Somebo
vision-transformer-from-scratch This repository includes several kinds of vision transformers from scratch so that one beginner can understand the the
SMD-Nets: Stereo Mixture Density Networks This repository contains a Pytorch implementation of "SMD-Nets: Stereo Mixture Density Networks" (CVPR 2021)
TTS-GAN: A Transformer-based Time-Series Generative Adversarial Network This repository contains code from the paper "TTS-GAN: A Transformer-based Tim
torchquantum A PyTorch-centric hybrid classical-quantum dynamic neural networks framework. News Add a simple example script using quantum gates to do
This is the repository for The Machine Learning Workshops, published by AI DOJO. It contains all the workshop's code with supporting project files necessary to work through the code.
HiFi-GAN: Generative Adversarial Networks for Efficient and High Fidelity Speech Synthesis Jungil Kong, Jaehyeon Kim, Jaekyoung Bae In our paper, we p
You Only Look One-level Feature (YOLOF), CVPR2021 A simple, fast, and efficient object detector without FPN. This repo provides a neat implementation
Natural Posterior Network This repository provides the official implementation o
Robust Object Detection via Instance-Level Temporal Cycle Confusion This repo contains the implementation of the ICCV 2021 paper, Robust Object Detect
Extensive tutorials for learning how to build deep learning models for causal inference using selection on observables in Tensorflow 2.
Introduction neonrvm is an open source machine learning library for performing regression tasks using RVM technique. It is written in C programming la
FEMDA: Robust classification with Flexible Discriminant Analysis in heterogeneous data. Flexible EM-Inspired Discriminant Analysis is a robust supervised classification algorithm that performs well i
bezier-mnist This is a work-in-progress vector version of the MNIST dataset. Samples Here are some samples from the training set. Note that, while the
ICLR Computational Geometry & Topology Challenge 2022 Welcome to the ICLR 2022 Computational Geometry & Topology challenge 2022 --- by the ICLR 2022 W
This repo contains the official implementation of the VAE-GAN from the INTERSPEECH 2020 paper Voice Conversion Using Speech-to-Speech Neuro-Style Transfer.
Official code release for "Learned Spatial Representations for Few-shot Talking-Head Synthesis" ICCV 2021
|Anaconda|_ MAPIE - Model Agnostic Prediction Interval Estimator MAPIE allows you to easily estimate prediction intervals using your favourite sklearn
FS-Mol is A Few-Shot Learning Dataset of Molecules, containing molecular compounds with measurements of activity against a variety of protein targets. The dataset is presented with a model evaluation
Explanatory Learning This is the official repository for "Explanatory Learning: Beyond Empiricism in Neural Networks". Datasets Download the datasets
109 Nov 16, 2022
1 Dec 24, 2021
115 Dec 26, 2022
108 Dec 29, 2022
400 Jan 02, 2023
12 May 06, 2022
31 Dec 08, 2022
273 Jan 03, 2023
54 Dec 06, 2022
69 Oct 13, 2022
151 Dec 31, 2022
33 May 31, 2022
0 Sep 06, 2022
15 Jan 16, 2022
42 Dec 13, 2022
93 Jan 05, 2023
16 Oct 05, 2022
584 Dec 27, 2022
114 Dec 15, 2022
10 Dec 06, 2022