#大语言模型#Run any open-source LLMs, such as DeepSeek and Llama, as OpenAI compatible API endpoint in the cloud.
#Awesome#Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"
CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search
#Awesome#Resources of our survey paper "Optimizing Edge AI: A Comprehensive Survey on Data, Model, and System Strategies"
Large-scale Auto-Distributed Training/Inference Unified Framework | Memory-Compute-Control Decoupled Architecture | Multi-language SDK & Heterogeneous Hardware Support
#大语言模型#EmbeddedLLM: API server for Embedded Device Deployment. Currently support CUDA/OpenVINO/IpexLLM/DirectML/CPU
#计算机科学#Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
#大语言模型#Build self-hosted RAG AI Agents powered by open-source LLMs, use LLM models from Ollama and Huggingface, add external API calls, python and shell scripts for context-aware LLM interactions, add valida...
#自然语言处理#Генерация описаний к изображениям с помощью различных архитектур нейронных сетей
#计算机科学#Accelerating AI Training and Inference from Storage Perspective (Must-read Papers on Storage for AI)
Image Classifiers are used in the field of computer vision to identify the content of an image and it is used across a broad variety of industries, from advanced technologies like autonomous vehicles ...
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
#自然语言处理#Successfully fine-tuned a pretrained DistilBERT transformer model that can classify social media text data into one of 4 cyberbullying labels i.e. ethnicity/race, gender/sexual, religion and not cyber...
#自然语言处理#Successfully developed a fine-tuned DistilBERT transformer model which can accurately predict the overall sentiment of a piece of financial news up to an accuracy of nearly 81.5%.
Example distributed system for ML model inference by using Kafka, including spring boot REST+JPA server with Java consumer program
#计算机科学#This project is a web-based application that uses a pre-trained Mask R-CNN model to detect and classify car damage types (scratch, dent, shatter, dislocation) from images. Users can upload an image of...
The primary objective of this project was to build and deploy an image classification model for Scones Unlimited, a scone-delivery-focused logistic company, using AWS SageMaker.
#计算机科学#Successfully established an image classification model using PyTorch to classify the images of several distinct natural sceneries such as mountains, glaciers, forests, seas, streets and buildings with...
#计算机科学#Successfully developed an image classification model using PyTorch to classify the species of grapevine leaves based on their corresponding images.