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aind2-cnn

AIND Term 2 -- Lesson on Convolutional Neural Networks

analytics_vidhya

Codes related to activities on AV including articles, hackathons and discussions.

anamoly-detection

anomaly-detection-resources

Anomaly detection related books, papers, videos, and toolboxes

autogptq

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

cd0377-introduction-to-natural-language-processing

Code for cd0377- Introduction to Natural Language Processing taught by Luis Serrano and Arpan Chakraborty

cd0379-computing-with-natural-language

chart-doctor

Sample files to accompany the FT's Chart Doctor column

chinese-bert-wwm

Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）

ckip-transformers

CKIP Transformers

clue

中文语言理解测评基准 Chinese Language Understanding Evaluation Benchmark: datasets, baselines, pre-trained models, corpus and leaderboard

coursera_capstone

coursera_capstone-1

couseramachinelearning

Final Project

create-your-own-adventure

dataminingalgorithm

数据挖掘18大算法实现以及其他相关经典DM算法

deep-learning

Repo for the Deep Learning Nanodegree Foundations program.

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

deep-reinforcement-learning

Repo for the Deep Reinforcement Learning Nanodegree program

ds-cheatsheets

List of Data Science Cheatsheets to rule the world

ecosys

TigerGraph Ecosystem

eventmonitor

Event monitor based on online news corpus including event storyline and analysis，基于给定事件关键词，采集事件资讯，对事件进行挖掘和分析。

examples

A repository to host extended examples and tutorials

factor_analyzer

A Python module to perform exploratory factor analysis.

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

forked-semopy

forked from https://bitbucket.org/herrberg/semopy/src/master/

gbdt_simple_tutorial

python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision

generative-ai-for-beginners

12 Lessons, Get Started Building with Generative AI 🔗 https://microsoft.github.io/generative-ai-for-beginners/

gspan

Python implementation of frequent subgraph mining algorithm gSpan. Directed graphs are supported.