Popular GitHub Repositories for Dl

Python package built to ease deep learning on graph, on top of existing DL frameworks.

快速上手AI理论及应用实战：基础知识、Transformer、NLP、ML、DL、竞赛。含大量注释及数据集，力求每一位能看懂并复现。

Deeplearning4j Examples (DL4J, DL4J Spark, DataVec)

无线与深度学习结合的论文代码整理/Paper-with-Code-of-Wireless-communication-Based-on-DL

深度学习100例、深度学习DL、图片分类、目标识别、目标检测、自然语言处理nlp、文本分类、TensorFlow、PyTorch

Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes and a curated list of awesome resources of such topics.

Open-source implementation of Google Vizier for hyper parameters tuning

Using OpenAI's Whisper to automatically generate YouTube subtitles

Essential Guide to keep up with AI/ML/DL/CV

This project contains examples which demonstrate how to deploy analytic models to mission-critical, scalable production environments leveraging Apache Kafka and its Streams API. Models are built with Python, H2O, TensorFlow, Keras, DeepLearning4 and other technologies.

? awesome algorithm books I've collected 【不定期更新】 搜集整理的算法书籍（经典算法、ML/DL算法、面试算法、比赛算法等）

A curated list of applied machine learning and data science notebooks and libraries across different industries.

机器学习、深度学习、自然语言处理、计算机视觉、各种算法等AI领域相关技术的路线、教程、干货分享。笔记有：机器学习实战、剑指Offer、cs231n、cs131、吴恩达机器学习、cs224n、python自然语言处理实战

? The experiment tracker for foundation model training

人工智能学习资料超全整理，包含机器学习基础ML、深度学习基础DL、计算机视觉CV、自然语言处理NLP、推荐系统、语音识别、图神经网路、算法工程师面试题

This repository is a home to Intel? Deep Learning Streamer (Intel? DL Streamer) Pipeline Framework. Pipeline Framework is a streaming media analytics framework, based on GStreamer* multimedia framework, for creating complex media analytics pipelines.

Docker for Your ML/DL Models Based on OCI Artifacts

ML-capsule is a Project for beginners and experienced data science Enthusiasts who don't have a mentor or guidance and wish to learn Machine learning. Using our repo they can learn ML, DL, and many related technologies with different real-world projects and become Interview ready.

List of DL topics and resources essential for cracking interviews

A simple deep learning framework in pure python for purpose of learning in DL