🦜🔗 Build context-aware reasoning applications

A latent text-to-image diffusion model

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.

Instruct-tune LLaMA on consumer hardware

StableLM: Stability AI Language Models

State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

QLoRA: Efficient Finetuning of Quantized LLMs

LAVIS - A One-stop Library for Language-Vision Intelligence

PyTorch code and models for the DINOv2 self-supervised learning method.

Best Practices, code samples, and documentation for Computer Vision.

An open-source, low-code machine learning library in Python

A collection of pre-trained, state-of-the-art models in the ONNX format

Official Code for Stable Cascade

This repository offers a comprehensive collection of tutorials on state-of-the-art computer vision models and techniques. Explore everything from foundational architectures like ResNet to cutting-e…

An annotated implementation of the Transformer paper.

Qwen2.5-VL is the multimodal large language model series developed by Qwen team, Alibaba Cloud.

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

AirLLM 70B inference with single 4GB GPU

A collection of infrastructure and tools for research in neural network interpretability.

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

Single Shot MultiBox Detector in TensorFlow

Tutorials for creating and using ONNX models

An educational AI robot based on NVIDIA Jetson Nano.

An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at …

YoloV3 Implemented in Tensorflow 2.0

Coding the Machine Learning Tutorial for Learning to Learn

Convert TensorFlow, Keras, Tensorflow.js and Tflite models to ONNX

Algorithms for outlier, adversarial and drift detection