Codes and data sets for "Geometric renormalization of weighted networks"

Speech Diarization for scrum automation

Neural building blocks for speaker diarization: speech activity detection, speaker change detection, overlapped speech detection, speaker embedding

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Implementation of Continuous Sparsification, a method for pruning and ticket search in deep networks

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to b…

Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

[ICML 2021] "Do We Actually Need Dense Over-Parameterization? In-Time Over-Parameterization in Sparse Training" by Shiwei Liu, Lu Yin, Decebal Constantin Mocanu, Mykola Pechenizkiy

ICLR'22, Effective Model Sparsification by Scheduled Grow-and-Prune Methods

A scalable generative AI framework built for researchers and developers working on Large Language Models, Multimodal, and Speech AI (Automatic Speech Recognition and Text-to-Speech)

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translatio…

Open Text to Speech Server

Robust Speech Recognition via Large-Scale Weak Supervision

Laplacian Renormalization Group for heterogeneous networks

关于机器视觉的相关知识整理的一些思维导图资料

Implementation of the Paper "Permutation-Invariant Variational Autoencoder for Graph-Level Representation Learning" by Robin Winter, Frank Noe and Djork-Arne Clevert.

A toolkit for developing and comparing reinforcement learning algorithms.

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

Multiresolution Equivariant Graph Variational Autoencoder (MGVAE) https://arxiv.org/abs/2106.00967

This repo includes ChatGPT prompt curation to use ChatGPT and other LLM tools better.

Modern port of Melanie Mitchell's and Douglas Hofstadter's Copycat

code for box-covering algorithms

Example deep learning projects that use wandb's features.

This is an Extension to MultiScale Network Generator (MUSKETEER) developed by Dr. Alexander Gutfraind and Dr. Ilya Safro. The Multiscale Entropic Network Generator 2 supports generation of syntheti…

Multiscale Entropic Network Generator (MUSKETEER)

Implementation and experiments of graph embedding algorithms.

Inference of high-quality embeddings of complex networks into the hyperbolic disk.