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Official PyTorch implementation of "LGViT: Dynamic Early Exiting for Accelerating Vision Transformer" (ACM MM 2023)
This project is an implementation of using the Google Pro Vision model API on Android to recognize the freshness and nutrition value of fruits and vegetables.
PharmaScan is an Android application that leverages Gemini Pro Vision model to identify medicines and provide their details such as usage, dosage, diagnosis, etc. on-the-go.
This repository contains annotated papers for NLP, Computer vision, Reinforcement learning and more, along with my notes.
Open standard for machine learning interoperability
The Torch-MLIR project aims to provide first class support from the PyTorch ecosystem to the MLIR ecosystem.
Open deep learning compiler stack for cpu, gpu and specialized accelerators
Official implementation of the paper "The Stable Signature Rooting Watermarks in Latent Diffusion Models"
Development repository for the Triton language and compiler
A high-throughput and memory-efficient inference and serving engine for LLMs
[CVPR 2024] DeepCache: Accelerating Diffusion Models for Free
20+ high-performance LLM implementations with recipes to pretrain, finetune and deploy at scale.
Generative Models by Stability AI
Examples and guides for using the OpenAI API
Turi Create simplifies the development of custom machine learning models.
Grounded SAM: Marrying Grounding DINO with Segment Anything & Stable Diffusion & Recognize Anything - Automatically Detect , Segment and Generate Anything
Pytorch Lightning code guideline for conferences
Outlining techniques for improving the training performance of your PyTorch model without compromising its accuracy
Google Research
Code Repository for Machine Learning with PyTorch and Scikit-Learn
A playbook for systematically maximizing the performance of deep learning models.
PyTorch and TensorFlow/Keras image models with automatic weight conversions and equal API/implementations - Vision Transformer (ViT), ResNetV2, EfficientNetV2, NeRF, SegFormer, MixTransformer, (pla…
Implementation of MusicLM, Google's new SOTA model for music generation using attention networks, in Pytorch
🦜🔗 Build context-aware reasoning applications