## Implementation of the neural network proposed in Natural Speech, a text-to-speech generator

Implementation of the neural network proposed in Natural Speech, a text-to-speech generator

Implementation of the neural network proposed in Natural Speech, a text-to-speech generator

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Continual evaluation for lifelong learning with neural networks

Implementation of Imagen, Google's Text-to-Image Neural Network.

Rethinking Graph Neural Networks for Anomaly Detection

Code Implementation for Traceback of Data Poisoning Attacks in Neural Networks

Neural networks with arbitrary connectivity and plasticity

Repository containing all project resources

NU-Wave 2: A General Neural Audio Upsampling Model for Various Sampling Rates

Beyond Classification: Directly Training Spiking Neural Networks for Semantic Segmentation

HiFi++: a Unified Framework for Neural Vocoding, Bandwidth Extension and Speech Enhancement

Neural Points: Point Cloud Representation with Neural Fields

ViewFormer: NeRF-free Neural Rendering from Few Images Using Transformers

CoNeRF: Controllable Neural Radiance Fields

Graph Neural Networks for User Identity Linkage

Neural Network to classify Road Signs based on their images

BERTopic: Neural topic modeling with a class-based TF-IDF procedure

Comparison of neural network training results with and without meta-information

PyTorch Implementation of DiffGAN-TTS: High-Fidelity and Efficient Text-to-Speech with Denoising Diffusion GANs

Implementation of revolutionary machine translation models

PyTorch-based Neural Radiance Fields adapted to satellite domain

One layer Perceptron Neural Network using numpy

A Contrastive Framework for Neural Text Generation

Pure PyTorch Implementation of NVIDIA paper on Instant Training of Neural Graphics primitives

Towards Adversarial Robustness of Bayesian Neural Network through Hierarchical Variational Inference (Openreview)

1D Burgers equation simulated by PINN

Point-NeRF: Point-based Neural Radiance Fields

Code for Guided Evolution for Neural Architecture Search

PINN(s): Physics-Informed Neural Network(s) for von Karman vortex street

A lossless neural compression framework built on top of JAX

A PyTorch implementation of Neural Radiance Fields (NeRF) for reproduction of results whilst running at a faster speed

You are AllSet: A Multiset Function Framework for Hypergraph Neural Networks

NeRF: Representing Scenes as Neural Radiance Fields for View Synthesis

Convolutional neural network that analyzes self-generated images in a variety of languages to find etymological similarities

SUMO: Advanced sleep spindle identification with neural networks

Iterative refinement graph neural network for antibody sequence-structure co-design (RefineGNN)

CAMPARI: Camera-Aware Decomposed Generative Neural Radiance Fields

Discovering Invariant Rationales for Graph Neural Networks

Contrastive Learning for Neural Topic Model

Using pretrained GROVER to extract the atomic fingerprints from molecule

Implicit Regularization in Hierarchical Tensor Factorization and Deep Convolutional Neural Networks

Improving Neural Cross-lingual Abstractive Summarization via Employing Optimal Transport Distance for Knowledge Distillation

NeuralRecon: Real-Time Coherent 3D Reconstruction from Monocular Video

A hybrid framework (neural mass model + ML) for SC-to-FC prediction

Basic Multilayer Perceptron Neural Network for deep learning

Based on Stockfish neural network(similar to LcZero)

NuPIC Studio is an all-in-one tool that allows users create a HTM neural network from scratch

Peek-a-Boo: What (More) is Disguised in a Randomly Weighted Neural Network, and How to Find It Efficiently

TJU Deep Learning & Neural Network

Code to reproduce the results for Statistically Robust Neural Network Classification, published in UAI 2021