🦜🔗 Build context-aware reasoning applications

12 Weeks, 24 Lessons, AI for All!

深度学习入门教程, 优秀文章, Deep Learning Tutorial

This repository contains implementations and illustrative code to accompany DeepMind publications

Companion webpage to the book "Mathematics For Machine Learning"

QLoRA: Efficient Finetuning of Quantized LLMs

Understanding Deep Learning - Simon J.D. Prince

Acceptance rates for the major AI conferences

Debugging, monitoring and visualization for Python Machine Learning and Data Science

This is code of book "Learn Deep Learning with PyTorch"

A proof-of-concept jupyter extension which converts english queries into relevant python code

Making Protein folding accessible to all!

C3D is a modified version of BVLC caffe to support 3D ConvNets.

This repository is intended to host tools and demos for ActivityNet

Deep Learning for Coders, 2020, the website

MONAI Generative Models makes it easy to train, evaluate, and deploy generative models and related applications

Transfer Learning Library

Code release for "Conditional Adversarial Domain Adaptation" (NIPS 2018)

Notebook example of how to generate class visualizations with Caffe