一个好用的 PC 端的语音输入工具，支持热词、LLM处理。按下CapsLock或鼠标侧键X2，说话，松开自动上屏。

The repo is finally unlocked. enjoy the party! The fastest repo in history to surpass 100K stars ⭐. Join Discord: https://discord.gg/5TUQKqFWd Built in Rust using oh-my-codex.

This repository contains comprehensive demo materials for presenting GitHub Copilot capabilities to data professionals and developers.

This repository is deprecated and will be archived

markdown editor with live preview

Aegis is a Secure citizen identity and government systems against cyber threats. Providing a trusted, tamper-proof platform for digital IDs and e-government access. It Uses AI to verify users and d…

State-of-the-art 2D and 3D Face Analysis Project

Hands-On Machine Learning for Algorithmic Trading, published by Packt

A collection of notebooks/recipes showcasing some fun and effective ways of using Claude.

Library for Python 3 to communicate with the Google Chromecast.

Examples and guides for using the Gemini API

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

AirLLM 70B inference with single 4GB GPU

CVNets: A library for training computer vision networks

Official Code for Stable Cascade

Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)

📋 A list of open LLMs available for commercial use.

Vector-Quantized Generative Adversarial Networks

Perceptual Losses for Neural Networks: Caffe implementation of loss layers based on perceptual image quality metrics.

Latex code for making neural networks diagrams

Taming Transformers for High-Resolution Image Synthesis

PyTorch package for the discrete VAE used for DALL·E.

Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)

High-Resolution Image Synthesis with Latent Diffusion Models

An open source implementation of "Scaling Autoregressive Multi-Modal Models: Pretraining and Instruction Tuning", an all-new multi modal AI that uses just a decoder to generate both text and images

Implementation of Imagen, Google's Text-to-Image Neural Network, in Pytorch

Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

MinImagen: A minimal implementation of the Imagen text-to-image model