SuperCLUE: 中文通用大模型综合性基准 | A Benchmark for Foundation Models in Chinese

Aligning pretrained language models with instruction data generated by themselves.

Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!

Code and documentation to train Stanford's Alpaca models, and generate the data.

Let ChatGPT truly learn how to go online and call APIs! 'EX-ChatGPT' can rival and even surpass NewBing

蜻蜓点论文 Think不Clear， 论文解读视频上传B站， youtube， 西瓜视频（同步到抖音）

雪球股票数据接口 python edition

High-Resolution 3D Human Digitization from A Single Image.

[CVPR 2020] 3D Photography using Context-aware Layered Depth Inpainting

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

Proxy based Redis cluster solution supporting pipeline and scaling dynamically

The Places365-CNNs for Scene Classification

Reimplementation of DeepLabV3

The implementation of an algorithm presented in the CVPR18 paper: "Detect-and-Track: Efficient Pose Estimation in Videos"

Visual Tracking Paper List

Datasets, Transforms and Models specific to Computer Vision

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

darknet深度学习框架源码分析：详细中文注释，涵盖框架原理与实现语法分析

CVPR 2024 论文和开源项目合集

Unofficial implementation of yolo nano

OpenMMLab Detection Toolbox and Benchmark

COCO API - Dataset @ http://cocodataset.org/

东北方言编程语言

Implementation of BiDAF using Pytorch

Re-implementation of BiDAF(Bidirectional Attention Flow for Machine Comprehension, Minjoon Seo et al., ICLR 2017) on PyTorch.

R-net in PyTorch, with ELMo

Bi-directional Attention Flow (BiDAF) network is a multi-stage hierarchical process that represents context at different levels of granularity and uses a bi-directional attention flow mechanism to …

An Implementation of Bidirectional Attention Flow

Manage and switch between multiple proxies quickly & easily.

Chinese version of Dr chen's PhD thesis. 这里是对陈丹琦的博士毕业论文的中文翻译版本。https://chendq-thesis-zh.readthedocs.io/en/latest/