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ai-for-cv

Computer Vision Assignments

airs

Artificial Intelligence for Science (AIRS)

algorithm019

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

awesome-molecular-generation

Awesome papers related to generative molecular modeling and design.

awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

awesome-scientific-language-models

A Curated List of Language Models in Scientific Domains

awesome-time-series-segmentation-papers

This repository contains a reading list of papers on Time Series Segmentation. This repository is still being continuously improved.

babyagi

basic-image-processing1

Implementation of Basic Digital Image Processing Tasks in Python / OpenCV

cv_course_2019

course-assignment&supporting-materials

data-structures-algorithms-python

This tutorial playlist covers data structures and algorithms in python. Every tutorial has theory behind data structure or an algorithm, BIG O Complexity analysis and exercises that you can practice on.

ding-tunnel

钉钉内网穿透

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

face-keypoints-detection

fourier-transform

A jupyter notebook with some stuff on the FT

hanlp

中文分词 词性标注 命名实体识别 依存句法分析 语义依存分析 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理

hello-world

This is the first repository of Peter Paaan in GitHub!

interactive-image-segmentation-opencv-qt

A simple interactive image segmentation app by opencv and qt. 使用opencv进行交互式抠图。

jikeshijian

算法

joyful-pandas

Pandas中文教程

k-means

K-means clustering implementation from scratch.

langchain

⚡ Building applications with LLMs through composability ⚡

llm4sd

The Open Source Code for LLM4SD (Large Language Models for Scientific Synthesis, Inference and Explanation)

llmagentpapers

Must-read Papers on LLM Agents.

machine-learning

machine-learning-without-any-libraries

This is a collection of some of the important machine learning algorithms which are implemented with out using any libraries. Libraries such as numpy and pandas are used to improve computational complexity of algorithms

metric-learn

Metric learning algorithms in Python

minigpt-4

Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)

minisom

:red_circle: MiniSom is a minimalistic implementation of the Self Organizing Maps