Robust Speech Recognition via Large-Scale Weak Supervision

Stable Diffusion web UI

Feature showcase for stable-diffusion-webui

Official implementation of VQ-Diffusion

Training and serving large-scale neural networks with auto parallelization.

Code Examples for the OpenAI series

A latent text-to-image diffusion model

Neural Networks: Zero to Hero

Grounded Language-Image Pre-training

COYO-700M: Large-scale Image-Text Pair Dataset

The official Python client for the Hugging Face Hub.

Use OneAI API to analyze the deep customer insights with NLP and LLMs

📶 Python Scripts for the basics of Digital Signal Processing (DSP). Updating on a regular basis.

The official Python library for the OpenAI API

🌊 A Human-in-the-Loop workflow for creating HD images from text

Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch

Generates human-like text using OpenAI GPT-3 via a text-in, text-out API.

🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.

Some ipython notebooks implementing AI algorithms

Deep feature pyramids for various computer vision algorithms (DPMs, pyramid R-CNN, etc.)

Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version

3.8% and 18.3% on CIFAR-10 and CIFAR-100

Training Very Deep Neural Networks Without Skip-Connections

starter from "How to Train a GAN?" at NIPS2016

Easy benchmarking of all publicly accessible implementations of convnets

Efficient Image Captioning code in Torch, runs on GPU

NeuralTalk is a Python+numpy project for learning Multimodal Recurrent Neural Networks that describe images with sentences.

Generalized AI to perform a multitude of tasks written in python3