model-inference
There are 15 repositories under model-inference topic.
bentoml/OpenLLM
Run any open-source LLMs, such as Llama 2, Mistral, as OpenAI compatible API endpoint in the cloud.
bentoml/CLIP-API-service
CLIP as a service - Embed image and sentences, object recognition, visual reasoning, image classification and reverse image search
wangxb96/Awesome-EdgeAI
Resources of our survey paper "A Systematic Review of AI Deployment on Resource-Constrained Edge Devices: Challenges, Techniques, and Applications"
DAVIDNYARKO123/edge-tpu-silva
Streamlining the process for seamless execution of PyCoral in running TensorFlow Lite models on an Edge TPU USB.
Koldim2001/Image_captioning
Генерация описаний к изображениям с помощью различных архитектур нейронных сетей
brian-kipkoech-tanui/sagemaker-ML-workflow
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 and augmented reality, to eCommerce platforms, and even in diagnostic medicine.
ChaitanyaC22/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
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.
GauravG-20/Udacity-AWS-MLE-ND-Project2-Build-a-ML-Workflow-For-Scones-Unlimited-On-Amazon-SageMaker
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.
KrajShuffle/Classifying_SpeechAudio_CNN
CNN Based Approach for Audio File Classification. Contains Notebooks Illustrating Data Preprocessing, Feature Extraction, Model Training, & Model Inference Workflows & Overall Pipeline
vinit714/--Deep-Learning-for-Fashion-MNIST--Accessory-Classification-Project
This repository contains Python code to classify fashion items using a Convolutional Neural Network (CNN) implemented with TensorFlow and Keras. It includes data preprocessing, model building, training, evaluation, and visualization of results.
SayamAlt/Cyberbullying-Classification-using-fine-tuned-DistilBERT
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 cyberbullying with a remarkable accuracy of 99%.
SayamAlt/English-to-Spanish-Language-Translation-using-Seq2Seq-and-Attention
Successfully established a Seq2Seq with attention model which can perform English to Spanish language translation up to an accuracy of almost 97%.
SayamAlt/Financial-News-Sentiment-Analysis
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%.
SayamAlt/Global-News-Headlines-Text-Summarization
Successfully established a text summarization model using Seq2Seq modeling with Luong Attention, which can give a short and concise summary of the global news headlines.
SayamAlt/Symptoms-Disease-Text-Classification
Successfully developed a fine-tuned BERT transformer model which can accurately classify symptoms to their corresponding diseases upto an accuracy of 89%.