Starred repositories
My First WebApp
Code and written solutions of the assignments of the Stanford CS224N: Natural Language Processing with Deep Learning course from winter 2022/2023
Compilers Principles, Techniques, & Tools (purple dragon book) second edition exercise answers. 编译原理(紫龙书)第2版习题答案。
Compilers Principles, Techniques, & Tools (a.k.a purple dragon book) second edition exercise answers.
Download flickr8k, flickr30k image caption datasets
Code for the ACL 2023 paper: "Rethinking the Role of Scale for In-Context Learning: An Interpretability-based Case Study at 66 Billion Scale"
List of tech companies to help developers to find job.
Fast and memory-efficient exact attention
This repository includes the official project of TransUNet, presented in our paper: TransUNet: Transformers Make Strong Encoders for Medical Image Segmentation.
A PyTorch 1.0 Implementation of Unet with EfficientNet as encoder
Solutions of NLPBOOK (3rd version draft)/SLP3
A one-stop repository for low-code easily-installable object detection pipelines.
OpenMMLab's next-generation platform for general 3D object detection.
OpenMMLab Detection Toolbox and Benchmark
Implementation of different kinds of Unet Models for Image Segmentation - Unet , RCNN-Unet, Attention Unet, RCNN-Attention Unet, Nested Unet
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
PyTorch implementation of the ACCV 2018-AIU2018 paper Video Summarization with Attention
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Natural Language Processing Tutorial for Deep Learning Researchers
All my Kaggle Notebooks that I've published
Reinforcement learning is a machine learning technique where agents learn to make optimal decisions by maximizing reward signals through interactions with environment. This repository provides a cu…
Learn how to use PyTorch to solve some common NLP problems with deep learning.
Code and data accompanying Natural Language Processing with PyTorch published by O'Reilly Media https://amzn.to/3JUgR2L