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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Magnificent app which corrects your previous console command.
scikit-learn: machine learning in Python
The simplest, fastest repository for training/finetuning medium-sized GPTs.
TensorFlow code and pre-trained models for BERT
💫 Industrial-strength Natural Language Processing (NLP) in Python
Open source UI framework written in Python, running on Windows, Linux, macOS, Android and iOS
Janus-Series: Unified Multimodal Understanding and Generation Models
Image annotation with Python. Supports polygon, rectangle, circle, line, point, and AI-assisted annotation.
Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.
Under 1KB each! Super Tiny Icons are miniscule SVG versions of your favourite website and app logos
PyTorch package for the discrete VAE used for DALL·E.
NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥
Pythonic Smart Contract Language for the EVM
Learn it. Build it. Ship it for others.
Cross platform React Native solution to draw graphics based on Skia
A curated list of gradient boosting research papers with implementations.
On-chain registry and unified API for Curve.fi pools.