jellchou

Qmedia

An open-source AI content search engine designed specifically for content creators. Supports extraction of text, images, and short videos. Allows full local deployment (web app, RAG server, LLM server). Supports multi-modal RAG content Q&A.

DeepVS_bcb22

SeismoNet

manim

Animation engine for explanatory math videos

gpt_academic

为GPT/GLM等LLM大语言模型提供实用化交互接口，特别优化论文阅读/润色/写作体验，模块化设计，支持自定义快捷按钮&函数插件，支持Python和C++等项目剖析&自译解功能，PDF/LaTex论文翻译&总结功能，支持并行问询多种LLM模型，支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, moss等。

AutoCoder

We introduced a new model designed for the Code generation task. Its test accuracy on the HumanEval base dataset surpasses that of GPT-4 Turbo (April 2024) and GPT-4o.

HKF_Thesis

HKF_ICASSP23

Blind-ECG-Restoration-by-Operational-Cycle-GANs

onnxruntime-inference-examples

Examples for using ONNX Runtime for machine learning inferencing.

reader

Convert any URL to an LLM-friendly input with a simple prefix https://r.jina.ai/

edgeai-tidl-tools

Edgeai TIDL Tools and Examples - This repository contains Tools and example developed for Deep learning runtime (DLRT) offering provided by TI’s edge AI solutions.

outlines

Structured Text Generation

data-connectors

LLM-ready data connectors

firegraph

📈 Create beautiful graphs in seconds. Plot github stars or your own csvs. Think ray.so for graphs. Built by the Firecrawl team.

py-ecg-detectors

Popular ECG QRS detectors written in python

marker

Convert PDF to markdown quickly with high accuracy

llmapper

Use LLMs to draw concept maps from web pages.

TDSTF

NeuroKit

NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

unstructured

Open source libraries and APIs to build custom preprocessing pipelines for labeling, training, or production machine learning pipelines.

SSSD-ECG

Generation of synthetic 12-lead electrocardiograms conditioned on 71 ECG statements from the PTB-XL dataset.

Awesome-TimeSeries-SpatioTemporal-Diffusion-Model

A survey and paper list of current Diffusion Model for Time Series and SpatioTemporal Data with awesome resources (paper, application, review, survey, etc.).

pytorch-ts

PyTorch based Probabilistic Time Series forecasting framework based on GluonTS backend

CLARM

Conditional Latent Autoregressive Recurrent Model for spatiotemporal learning

TimeSeries_Seq2Seq

This repo aims to be a useful collection of notebooks/code for understanding and implementing seq2seq neural networks for time series forecasting. Networks are constructed with keras/tensorflow.

wavenet-time-series-forecasting

TCN-finance

Conditional time series forecasting with convolutional neural networks

autoregressive

:kiwi_fruit: Autoregressive Models in PyTorch.

TCN_Seq2Seq

TCN-based sequence-to-sequence model for time series forecasting.