A latent text-to-image diffusion model

Learn how to design, develop, deploy and iterate on production-grade ML applications.

Google Research

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

100-Days-Of-ML-Code中文版

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

A guidance language for controlling large language models.

《统计学习方法》的代码实现

Instruct-tune LLaMA on consumer hardware

Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…

StableLM: Stability AI Language Models

One has no future if one couldn't teach themself.

Natural Language Processing Tutorial for Deep Learning Researchers

Your new Mentor for Data Science E-Learning.

High-Resolution Image Synthesis with Latent Diffusion Models

PRML algorithms implemented in Python

QLoRA: Efficient Finetuning of Quantized LLMs

Code release for NeRF (Neural Radiance Fields)

Official inference library for Mistral models

Playing Pokemon Red with Reinforcement Learning

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

A real-time approach for mapping all human pixels of 2D RGB images to a 3D surface-based model of the body

An annotated implementation of the Transformer paper.

Chinese version of CLIP which achieves Chinese cross-modal retrieval and representation generation.

Repo for the Deep Reinforcement Learning Nanodegree program

links to conference publications in graph-based deep learning

Tutorials for creating and using ONNX models

Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters

A Code-First Introduction to NLP course

Fast and flexible AutoML with learning guarantees.