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

Data Structure Codes

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