Stars
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
The Patterns of Scalable, Reliable, and Performant Large-Scale Systems
📚 List of awesome university courses for learning Computer Science!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A playbook for systematically maximizing the performance of deep learning models.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PyTorch deep learning projects made easy.
🎓 无需编写任何代码即可轻松创建漂亮的学术网站 Easily create a beautiful academic résumé or educational website using Hugo and GitHub. No code.
Video+code lecture on building nanoGPT from scratch
dataset and code for 2016 paper "Learning a Driving Simulator"
Vector (and Scalar) Quantization, in Pytorch
[IEEE T-PAMI 2024] All you need for End-to-end Autonomous Driving
Implementation of Algorithms and Data Structures, Problems and Solutions
Tips for releasing research code in Machine Learning (with official NeurIPS 2020 recommendations)
Mastering Diverse Domains through World Models
A PyTorch Library for Multi-Task Learning
detrex is a research platform for DETR-based object detection, segmentation, pose estimation and other visual recognition tasks.
label-smooth, amsoftmax, partial-fc, focal-loss, triplet-loss, lovasz-softmax. Maybe useful
Code release for ConvNeXt V2 model
CVPR and NeurIPS poster examples and templates. May we have in-person poster session soon!
Implementing DeepSeek R1's GRPO algorithm from scratch
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).