Pretrained insightface models ported to pytorch (with fixes)

Code for the paper "Training Diffusion Models with Reinforcement Learning"

String-to-String Algorithms for Natural Language Processing

Train transformer language models with reinforcement learning.

This repository contains code to quantitatively evaluate instruction-tuned models such as Alpaca and Flan-T5 on held-out tasks.

LunaSec - Dependency Security Scanner that automatically notifies you about vulnerabilities like Log4Shell or node-ipc in your Pull Requests and Builds. Protect yourself in 30 seconds with the Luna…

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation

Tk-Instruct is a Transformer model that is tuned to solve many NLP tasks by following instructions.

Self-contained, minimalistic implementation of diffusion models with Pytorch.

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

v objective diffusion inference code for PyTorch.

Generate a denotation graph from a set of image captions

A demonstration of using a live Tensorflow session to create an interactive face-GAN explorer.

💫 Industrial-strength Natural Language Processing (NLP) with Python and Cython

A library for encrypted, privacy preserving machine learning

Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allreduce, reductions, learning2search, active, and interactive lea…

💬 Open source machine learning framework to automate text- and voice-based conversations: NLU, dialogue management, connect to Slack, Facebook, and more - Create chatbots and voice assistants

A system for quickly generating training data with weak supervision

A technical report on convolution arithmetic in the context of deep learning

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.