voicepaw / so-vits-svc-fork

so-vits-svc fork with realtime support, improved interface and more features.

https://github.com/voicepaw/so-vits-svc-fork

Agent-LLM

An Artificial Intelligence Automation Platform. AI Instruction management from various providers, has an adaptive memory, and a versatile plugin system with many commands including web browsing. Supports many AI providers and models and growing support every day.

https://github.com/Josh-XT/Agent-LLM

segment-geospatial

A Python package for segmenting geospatial data with the Segment Anything Model (SAM).

https://github.com/opengeos/segment-geospatial

databrickslabs / dolly

Databricks’ Dolly, a large language model trained on the Databricks Machine Learning Platform

https://github.com/databrickslabs/dolly

jupyter-ai

A generative AI extension for JupyterLab.

https://github.com/jupyterlab/jupyter-ai

OptimalScale / LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Model for All.

https://github.com/OptimalScale/LMFlow

gptdeploy

Turn your natural language descriptions into fully functional, deployed AI-powered microservices with a single command! Your imagination is the limit!

https://github.com/jina-ai/gptdeploy

PyTorch Performance Features and How They Interact

PyTorch has many performance features that can be tuned to improve the speed of your model. The best way to tune your model is to experiment with different settings and measure the results.

https://paulbridger.com/posts/pytorch-tuning-tips/

Introducing 'Trusted Publishers'

The post introduces a new feature called Trusted Publishers for the Python Package Index (PyPI) which aims to improve the security of the package distribution process by allowing package maintainers to verify their identities. The author describes how the feature works and highlights its potential impact on the PyPI community.

https://blog.pypi.org/posts/2023-04-20-introducing-trusted-publishers/

Compromising Garmin’s Sport Watches: A Deep Dive into GarminOS and its MonkeyC Virtual Machine

The article provides a detailed analysis of how Garmin's sports watches were compromised through their MonkeyC virtual machine, allowing attackers to execute arbitrary code and potentially access sensitive user information. The author describes the vulnerabilities and outlines steps that Garmin could take to improve the security of their products.

https://www.anvilsecure.com/blog/compromising-garmins-sport-watches-a-deep-dive-into-garminos-and-its-monkeyc-virtual-machine.html

Introducing Delphic —a Production Grade Starter App to use LLMs to Query Your Own Documents

The post introduces Delphic, a starter application for using low-latency model serving (LLMS) to query your own documents. It provides an overview of the features and benefits of Delphic, as well as instructions for getting started with the application.

https://medium.com/@scrudato/introducing-delphic-a-production-grade-starter-app-to-use-llms-to-query-your-own-documents-5c2462357b84

Bark

Text-Prompted Generative Audio Model.

https://github.com/suno-ai/bark

nomic-ai / gpt4all

gpt4all: an ecosystem of open-source chatbots trained on a massive collections of clean assistant data including code, stories and dialogue

https://github.com/nomic-ai/gpt4all

Track-Anything

Track-Anything is a flexible and interactive tool for video object tracking and segmentation, based on Segment Anything, XMem, and E2FGVI.

https://github.com/gaomingqi/Track-Anything

svc-develop-team / so-vits-svc

SoftVC VITS Singing Voice Conversion

https://github.com/svc-develop-team/so-vits-svc

Building Your 1st AI App with Replit!

Learn to code your 1st AI app in 21 lines of Python in ~30min!

https://www.youtube.com/watch?v=JI2rmCII4fg

Chat-with-Github-Repo

This repository contains two Python scripts that demonstrate how to create a chatbot using Streamlit, OpenAI GPT-3.5-turbo, and Activeloop's Deep Lake.

https://github.com/peterw/Chat-with-Github-Repo