The most cited deep learning papers

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📚 가늘고 길게 가는 걸 목표로 하는 책 스터디

Deep Learning Zero to All - Pytorch

《머신러닝·딥러닝 문제해결 전략》

Latex code for making neural networks diagrams

This is a repository for ARtificial intelligence Study

좋은 학습 자료 및 GitHub 활동 하시는 분들을 정리했습니다.

scikit-learn: machine learning in Python

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

This is the Curriculum for "Learn Computer Science in 5 Months" By Siraj Raval on Youtube

100 Days of ML Coding

The world's simplest facial recognition api for Python and the command line

Tensors and Dynamic neural networks in Python with strong GPU acceleration

『밑바닥부터 시작하는 딥러닝 1(리마스터판)』(한빛미디어, 2025)

kaldi-asr/kaldi is the official location of the Kaldi project.

100 numpy exercises (with solutions)

📌✨ A collection of awesome dynamic pinned gists for GitHub

Badges for your personal developer branding, profile, and projects.

Google Machine Learning Study Jam: Google 머신러닝 단기집중과정(Machine Learning Crash Course: MLCC) [텐서플로우 API 사용] 스터디 내용을 정리하였습니다. https://akagaeng.github.io/Machine-Learning-Study-Jam/

🌈 Dynamic Coloful Image Render

⚡ Dynamically generated stats for your github readmes

A Roadmap to Becoming an AI Engineer — From Zero to AI Engineer 👨🏻‍🚀 🚀

YOLOv3 in PyTorch > ONNX > CoreML > TFLite

Unofficial PyTorch implementation of Google AI's VoiceFilter system

Building a Real-time Hand-Detector using Neural Networks (SSD) on Tensorflow

한국어 자연어처리를 위한 파이썬 라이브러리입니다. 단어 추출/ 토크나이저 / 품사판별/ 전처리의 기능을 제공합니다.

This is a RNNoise windows demo. It was modified and restructured so that it can be compiled with MSVC, VS2017, VS2019.

Visualizations for machine learning datasets