leoperezz

VITA

✨✨VITA: Towards Open-Source Interactive Omni Multimodal LLM

youtube-transcript-api

This is a python API which allows you to get the transcript/subtitles for a given YouTube video. It also works for automatically generated subtitles and it does not require an API key nor a headless browser, like other selenium based solutions do!

ARC-AGI

The Abstraction and Reasoning Corpus

RealtimeSTT

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.

01

The open-source language model computer

ChatGPT

OpenAI API Free Reverse Proxy

LLaMA-VID

LLaMA-VID: An Image is Worth 2 Tokens in Large Language Models (ECCV 2024)

tourismandco

A simple project showing off a list of tours with a detail screen for each tour. Used by fluttercrashcourse.com

DataScienceInteractivePython

Python interactive dashboards for learning data science

tensordict

TensorDict is a pytorch dedicated tensor container.

Modern-CPP-Programming

Modern C++ Programming Course (C++03/11/14/17/20/23/26)

cross-image-attention

Officail Implementation for "Cross-Image Attention for Zero-Shot Appearance Transfer"

jc141-bash

vall-e

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

gpt4all

GPT4All: Chat with Local LLMs on Any Device

gpt4free

The official gpt4free repository | various collection of powerful language models

llama2-webui

Run any Llama 2 locally with gradio UI on GPU or CPU from anywhere (Linux/Windows/Mac). Use `llama2-wrapper` as your local llama2 backend for Generative Agents/Apps.

llama.py

Python bindings to llama.cpp

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

MedSAM

Segment Anything in Medical Images

MaskDINO

[CVPR 2023] Official implementation of the paper "Mask DINO: Towards A Unified Transformer-based Framework for Object Detection and Segmentation"

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.