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A simple program to simulate artificial life using attraction/reuplsion forces between many particles
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
An opensource text-to-speech (TTS) voice building tool
Go engine with no human-provided knowledge, modeled after the AlphaGo Zero paper.
A high performance and generic framework for distributed DNN training
Tinyhttpd 是J. David Blackstone在1999年写的一个不到 500 行的超轻量型 Http Server，用来学习非常不错，可以帮助我们真正理解服务器程序的本质。官网:http://tinyhttpd.sourceforge.net
This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".
The SEMB library is an easy-to-use tool for getting and evaluating structural node embeddings in graphs.
A collection of important graph embedding, classification and representation learning papers with implementations.
[CVPR2021, PAMI2023] End-to-End Object Detection with Learnable Proposal
At LinkedIn, we are using this curriculum for onboarding our entry-level talents into the SRE role.
Awesome Contrastive Learning for CV & NLP
Code for ICCV2019 "Symmetric Cross Entropy for Robust Learning with Noisy Labels"
PyTorch Implementation for Deep Metric Learning Pipelines
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
A curated list of resources for Learning with Noisy Labels
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
Must-read papers on graph neural networks (GNN)
Graph Neural Network Library for PyTorch
使用Bert，ERNIE，进行中文文本分类
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
中文文本分类，TextCNN，TextRNN，FastText，TextRCNN，BiLSTM_Attention，DPCNN，Transformer，基于pytorch，开箱即用。
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
Homepage for the joint course of Megvii Inc. and Peking University on Deep Learning.
😎 🔗 Awesome list about all kinds of resources for learning Ethical Hacking and Penetration Testing.
Code for paper "Unsupervised Domain Adaptation using Feature-Whitening and Consensus Loss" (CVPR 2019)