🏅 Collection of Kaggle Solutions and Ideas 🏅
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🏅 Collection of Kaggle Solutions and Ideas 🏅
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
🧮 A collection of resources to learn mathematics for machine learning
RSTutorials: A Curated List of Must-read Papers on Recommender System.
Notes on books I read, talks I watch, articles I study, and papers I love
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Tower defense game that teaches cloud architecture. Build infrastructure, survive traffic, learn scaling.
Learn Python 3 Sample Code
🎛 🔊 A Python library for audio.
An adversarial example library for constructing attacks, building defenses, and benchmarking both
A curated list of awesome self-supervised methods
This repository contains a hand-curated resources for Prompt Engineering with a focus on Generative Pre-trained Transformer (GPT), ChatGPT, PaLM etc
Project flat is the Web, Windows and macOS client of Agora Flat open source classroom.
Facebook AI Research's Automatic Speech Recognition Toolkit
Statistical Machine Intelligence & Learning Engine
docTR (Document Text Recognition) - a seamless, high-performing & accessible library for OCR-related tasks powered by Deep Learning. Ongoing development and maintenance by t2k.
A list of popular github projects related to deep learning
(CGCSTCD'2017) An easy, flexible, and accurate plate recognition project for Chinese licenses in unconstrained situations. CGCSTCD = China Graduate Contest on Smart-city Technology and Creative Design
A curated list of project tutorials for project-based learning.
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
StyleTTS 2: Towards Human-Level Text-to-Speech through Style Diffusion and Adversarial Training with Large Speech Language Models
A flexible, high-performance serving system for machine learning models
TranslatedTensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0 version introductory example code and hands-on tutorials.
Train and evaluate embeddings for similarity search with PyTorch. Includes contrastive losses, hard example mining, samplers, and retrieval metrics.