Amir22010
working on developing a state of art AI solutions mainly in computer vision, chat bots and nlp domain. building an awesome AI as a professional developer 😍.
India
Pinned Repositories
ai_doctor
azurenlp
DeepCamera
Protect your privacy, open source AI-powered video surveillance on Android, featuring face recognition, human shape recognition(ReID), etc. The world's first AutoML Deep Learning edge AI platform. No programming exp needed to train a new model for your privacy.
ImageSegmentation
NLP_Deep_Learning
Simple flask web app NLP Deep Learning Projects
nlpweb
RetailStoreProductDetection
Amir22010's Repositories
Amir22010/ai_doctor
Amir22010/nlpweb
Amir22010/Amir22010
Amir22010/kaggle_rotated_maskrcnn
Amir22010/RetailStoreProductDetection
Amir22010/audiodeeplearningexamples
Amir22010/azure_demo_web_app_deployment
azure_demo_web_app_deployment
Amir22010/deployment-workshop-bot-1
Amir22010/deployment-workshop-bot-2
Amir22010/dialogfowcx
Amir22010/dsgo-dl-workshop-summer-2020
Deep Learning Workshop for Data Science Go Virtual Event Summer 2020
Amir22010/dvcwithml
Amir22010/fastbook
Draft of the fastai book
Amir22010/gaih-students-repo-example
Amir22010/GitHubGraduation-2021
Join the GitHub Graduation Yearbook and "walk the stage" on June 5.
Amir22010/HAQS-2022
Repository containing challenges for the qBraid HAQS 2022 quantum computing hackathon.
Amir22010/layoutlmv3FineTuning
Amir22010/LLM_Innovation
Amir22010/machine-learning-experiments
🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Amir22010/mlops-ml
Amir22010/MTP_Thesis_Project_2023
Amir22010/myassignment
Amir22010/openvino_notebooks
📚 A collection of Python notebooks for learning and experimenting with OpenVINO 👓
Amir22010/portfolio
Amir22010/Predicting-cloud-CPU-usage-on-Azure-data
Forecasting future CPU Usage in Azure VM using Deep Learning Models. Compares LSTM , GRU and IndRNN
Amir22010/predicting-cloud-CPU-utilization-on-Azure-dataset-using-deeplearning
Many companies are utilizing the cloud for their day to day activities. Many big cloud service providers like AWS, Microsoft Azure have been success-fully serving its increasing customer base. A brief understanding of the char-acteristics of production virtual machine (VM) workloads of large cloud pro-viders can inform the providers resource management systems, e.g. VM scheduler, power manager, server health manager. In our project we will be analysing Microsoft Azure’s VM CPU utilization dataset released in October 2017. We predict the VM workload from the CPU usage pattern like mini-mum, maximum and average from the Azure dataset. Different techniques among Deep learning are used for the prediction by considering the history of the workload. By considering real VM traces, we can show that the predic-tion-informed schedules increase utilization and stop physical resource ex-haustion. We can arrive at a conclusion that cloud service providers can use their workloads’ characteristics and machine learning techniques to enhance resource management greatly.
Amir22010/qosf
Amir22010/sparseml
Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
Amir22010/WatsonTwilio
Amir22010/YOLOv4-Deepstream
YOLOv4 accelerated wtih TensorRT and multi-stream input using Deepstream