hwong39

awesome-selfhosted

A list of Free Software network services and web applications which can be hosted on your own servers

Kalman-and-Bayesian-Filters-in-Python

Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.

autoscraper

A Smart, Automatic, Fast and Lightweight Web Scraper for Python

100-nlp-papers

100 Must-Read NLP Papers

model_search

sparseml

Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models

resume

个人中文简历 Latex 源码 https://hijiangtao.github.io/

model-analysis

Model analysis tools for TensorFlow

streamlit-webrtc

Real-time video and audio streams over the network, with Streamlit.

awesome-ml-demos-with-ios

The challenge projects for Inferencing machine learning models on iOS

Awesome-SLU-Survey

Tracking the progress in SLU (resources, code, and new frontiers etc.)

keops

KErnel OPerationS, on CPUs and GPUs, with autodiff and without memory overflows

Efficient-Deep-Learning

Collection of recent methods on (deep) neural network compression and acceleration.

SpeechAlgorithms

Speech Algorithms

awesome-audio-visual

A curated list of different papers and datasets in various areas of audio-visual processing

FastBERT

The score code of FastBERT (ACL2020)

musicnn

Pronounced as "musician", musicnn is a set of pre-trained deep convolutional neural networks for music audio tagging.

Awesome-Noisy-Labels

A Survey

invertible-resnet

Official Code for Invertible Residual Networks

leaf-audio

LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.

muspy

A toolkit for symbolic music generation

diffq

DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.

TTS_TFLite

This repository is a collection of TTS Models in TFLite

pansori

Tools for ASR Corpus Generation from Online Video

nystrom-attention

Implementation of Nyström Self-attention, from the paper Nyströmformer

UST

Uncertainty-aware Self-training

tdfbanks

Pytorch implementation of time-domain filterbanks

autoclip

Adaptive Gradient Clipping

Denoised-Smoothing-TF

Minimal implementation of Denoised Smoothing (https://arxiv.org/abs/2003.01908) in TensorFlow.

GAN-control

My deep generative modelling playground