Real-time image filter engine based on GPU

RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…

汇总各大互联网公司容易考察的高频leetcode题🔥

Machine Learning FAQ

【三年面试五年模拟】AIGC算法工程师面试秘籍。涵盖AIGC、传统深度学习、自动驾驶、AI Agent、机器学习、计算机视觉、自然语言处理、强化学习、具身智能、元宇宙、AGI等AI行业面试笔试干货经验与核心知识。

Tensors and Dynamic neural networks in Python with strong GPU acceleration

复盘所有NLP比赛的TOP方案，只关注NLP比赛，持续更新中！

LLMs interview notes and answers:该仓库主要记录大模型（LLMs）算法工程师相关的面试题和参考答案

Inference code for Llama models

an implementation of transformer, bert, gpt, and diffusion models for learning purposes

主要是我是日常看过的不错的文章的资源汇总，方便自己也分享给大家。有些我看过的，就会做简单的解读，没看过的，就先罗列一下，然后之后看了把解读更新上；涉及到搜索/推荐/自然语言处理。

You Only Look Once for Panopitic Driving Perception.（MIR2022）

Linux kernel source tree

C++那些事

📔 C++ Primer 第五版

Online COVID-19 diagnosis with chest CT images: Lesion-attention deep neural networks

A paper list of lane detection.

医学影像数据集列表 『An Index for Medical Imaging Datasets』

Code for our CVPR2021 paper coordinate attention

We are building an open database of COVID-19 cases with chest X-ray or CT images.

NSST - Non-Subsampled Shearlet Transform

Google Research

A simple baseline model for CheXpert - DenseNet121. Contain train and test module. Also a simple and easy-used deep learning framework by PyTorch!

This is a reimplementation of AG-CNN. ("Thorax Disease Classification with Attention Guided Convolutional Neural Network","Diagnose like a Radiologist: Attention Guided Convolutional Neural Network…

We have marked the lesions in some cases of the Musculoskeletal Radiograph (MURA) dataset. These lesions are mainly the presence of abnormal objects, fractures and dislocations. The remaining MURA …

Weakly Supervised Learning for Findings Detection in Medical Images

Implementation of the CheXNet network (PyTorch)

A pytorch reimplementation of CheXNet