Stars
Mastering Ethereum: 2nd Edition, by Andreas M. Antonopoulos, Gavin Wood, Carlo Parisi, Alessandro Mazza, Niccolò Pozzolini
Code release for "Detecting Twenty-thousand Classes using Image-level Supervision".
🪄 AI-powered online tool for making notion-style avatars.
Open-source AI orchestration framework for building context-engineered, production-ready LLM applications. Design modular pipelines and agent workflows with explicit control over retrieval, routing…
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
An official implementation for "CLIP4Clip: An Empirical Study of CLIP for End to End Video Clip Retrieval"
A complete computer science study plan to become a software engineer.
12 Weeks, 24 Lessons, IoT for All!
A data augmentations library for audio, image, text, and video.
An Open-source Neural Hierarchical Multi-label Text Classification Toolkit
Recent Advances in Vision and Language PreTrained Models (VL-PTMs)
A utility-first CSS framework for rapid UI development.
A set of free MIT-licensed high-quality SVG icons for UI development.
💫 Industrial-strength Natural Language Processing (NLP) in Python
Penpot: The open-source design platform for Product teams that need scalable collaboration.
Enable macOS HiDPI and have a native setting.
Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Improved Fusion of Visual and Language Representations by Dense Symmetric Co-Attention for Visual Question Answering
Argon - Dashboard for Bootstrap 5 by Creative Tim
Python version of the Playwright testing and automation library.
A PyTorch implementation of the Transformer model in "Attention is All You Need".
TensorFlow code and pre-trained models for BERT
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
Deep learning software for colorizing black and white images with a few clicks.
CogDL: A Comprehensive Library for Graph Deep Learning (WWW 2023)