Lists (7)
Stars
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
This repository showcases various advanced techniques for Retrieval-Augmented Generation (RAG) systems. RAG systems combine information retrieval with generative models to provide accurate and cont…
A guidance language for controlling large language models.
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Qwen3-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
Foundational Models for State-of-the-Art Speech and Text Translation
This repository contains demos I made with the Transformers library by HuggingFace.
🦙 LaMa Image Inpainting, Resolution-robust Large Mask Inpainting with Fourier Convolutions, WACV 2022
Zero-Shot Speech Editing and Text-to-Speech in the Wild
Flax is a neural network library for JAX that is designed for flexibility.
⚡ TabPFN: Foundation Model for Tabular Data ⚡
Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.
A fast library for AutoML and tuning. Join our Discord: https://discord.gg/Cppx2vSPVP.
An automatic evaluator for instruction-following language models. Human-validated, high-quality, cheap, and fast.
Official code for "FeatUp: A Model-Agnostic Frameworkfor Features at Any Resolution" ICLR 2024
A PyTorch-based framework for Quantum Classical Simulation, Quantum Machine Learning, Quantum Neural Networks, Parameterized Quantum Circuits with support for easy deployments on real quantum compu…
Kernl lets you run PyTorch transformer models several times faster on GPU with a single line of code, and is designed to be easily hackable.
Benchmark LLMs by fighting in Street Fighter 3! The new way to evaluate the quality of an LLM
Model explainability that works seamlessly with 🤗 transformers. Explain your transformers model in just 2 lines of code.
Open-source tool to visualise your RAG 🔮
ICCV2021, Tokens-to-Token ViT: Training Vision Transformers from Scratch on ImageNet
A list of Machine Learning Art Colabs