Code for the paper "Language Models are Unsupervised Multitask Learners"

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

Qlib is an AI-oriented quantitative investment platform that aims to realize the potential, empower research, and create value using AI technologies in quantitative investment, from exploring ideas to implementing productions. Qlib supports diverse machine learning modeling paradigms. including supervised learning, market dynamics modeling, and RL.

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Scan, index, and archive all of your paper documents

Code for the paper "Jukebox: A Generative Model for Music"

A curated list of awesome libraries, packages, strategies, books, blogs, tutorials for systematic trading.

[CVPR2020] Adversarial Latent Autoencoders

📈 目前最大的工业缺陷检测数据库及论文集 Constantly summarizing open source dataset and critical papers in the field of surface defect research which are of great importance.

Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

Image Deblurring using Generative Adversarial Networks

Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"

Code for the paper "Improved Techniques for Training GANs"

DeepMind's Tacotron-2 Tensorflow implementation

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"

FSL-Mate: A collection of resources for few-shot learning (FSL).

Code for the MADDPG algorithm from the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"