Material for cuda-mode lectures

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

整理开源的中文大语言模型，以规模较小、可私有化部署、训练成本较低的模型为主，包括底座模型，垂直领域微调及应用，数据集与教程等。

GPT4 & LangChain Chatbot for large PDF docs

科技爱好者周刊，每周五发布

Let us control diffusion models!

Interpretable prompting and models for NLP (using large language models).

🐙 Guides, papers, lecture, and resources for prompt engineering

Examples and guides for using the OpenAI API

Ongoing research training transformer models at scale

This repository contains implementations and illustrative code to accompany DeepMind publications

General technology for enabling AI capabilities w/ LLMs and MLLMs

Reading list for research topics in Masked Image Modeling

A Python library to use infix notation in Python

Vector Quantization, in Pytorch

An open source implementation of CLIP.

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习，概率模型和深度学习的讲义(2000+页)和视频链接

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

Implementation of a memory efficient multi-head attention as proposed in the paper, "Self-attention Does Not Need O(n²) Memory"

Efficient, scalable and enterprise-grade CPU/GPU inference server for 🤗 Hugging Face transformer models 🚀

PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

OpenMMLab's Next Generation Video Understanding Toolbox and Benchmark

A collection of AWESOME things about domian adaptation

List of the Papers Addressing Vision-based Small Object Detection

[CVPR 2020] A Large-Scale Dataset for Real-World Face Forgery Detection

High-performance TensorFlow library for quantitative finance.

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

ResNeSt: Split-Attention Network