There are 55 repositories under paper topic.
Natural Language Processing Tutorial for Deep Learning Researchers
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Qlib is an AI-oriented quantitative investment platform, which aims to realize the potential, empower the research, and create the value of AI technologies in quantitative investment. With Qlib, you can easily try your ideas to create better Quant investment strategies. An increasing number of SOTA Quant research works/papers are released in Qlib.
CVPR 2022 论文和开源项目合集
A curated list to learn about distributed systems
Scan, index, and archive all of your paper documents
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
记录每天整理的计算机视觉/深度学习/机器学习相关方向的论文
Visual Tracking Paper List
A collection of AWESOME things about domian adaptation
[CVPR2020] Adversarial Latent Autoencoders
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow
A curated list of the latest breakthroughs in AI (in 2021) by release date with a clear video explanation, link to a more in-depth article, and code.
Deep Learning and deep reinforcement learning research papers and some codes
Paper is a fast NoSQL-like storage for Java/Kotlin objects on Android with automatic schema migration support.
A curated list of the latest breakthroughs in AI by release date with a clear video explanation, link to a more in-depth article, and code
Image Deblurring using Generative Adversarial Networks
DeepMind's Tacotron-2 Tensorflow implementation
:page_facing_up: :cn: :page_with_curl: 论文阅读笔记(分布式系统、虚拟化、机器学习)Papers Notebook (Distributed System, Virtualization, Machine Learning)
Code for the paper "PixelCNN++: A PixelCNN Implementation with Discretized Logistic Mixture Likelihood and Other Modifications"
Highly cited and useful papers related to machine learning, deep learning, AI, game theory, reinforcement learning
A curated list of research in machine learning systems (MLSys). Paper notes are also provided.
Code and model for the paper "Improving Language Understanding by Generative Pre-Training"
Code for a multi-agent particle environment used in the paper "Multi-Agent Actor-Critic for Mixed Cooperative-Competitive Environments"
Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)
Minimal and formal résumé (CV) website template for print, mobile, and desktop. https://bit.ly/ur_demo
Code for the paper "Evolution Strategies as a Scalable Alternative to Reinforcement Learning"