Owais Ahmad's Projects
1st Place Solution in Google Universal Image Embedding
Open source code for AlphaFold.
Pandas profile
An anomaly detection library comprising state-of-the-art algorithms and features such as experiment management, hyper-parameter optimization, and edge inference.
Implementation for "AttentionXML: Label Tree-based Attention-Aware Deep Model for High-Performance Extreme Multi-Label Text Classification"
Enable Next-Gen Large Language Model Applications. Join our Discord: https://discord.gg/pAbnFJrkgZ
AutoML library for deep learning
Google Brain AutoML
Avatars for Zoom, Skype and other video-conferencing apps.
An awesome & curated list of best LLMOps tools for developers
π₯π₯π₯ A collection of some awesome public YOLO object detection series projects.
This repository is for active development of the Azure SDK for Python. For consumers of the SDK we recommend visiting our public developer docs at https://docs.microsoft.com/python/azure/ or our versioned developer docs at https://azure.github.io/azure-sdk-for-python.
Toolkit of BDD100K Dataset for Heterogeneous Multitask Learning - CVPR 2020 Oral Paper
BERT, stands for Bidirectional Encoder Representations from Transformers, is a Neural Network based technique for Natural Language processing pretraining .The breakthrough of BERT is in its ability to train language models based on the entire set of words in a sentence or query (bidirectional training) rather than the traditional way of training on the ordered sequence of words (left to right or combined left to right and right to left). BERT allows the language model to learn word context based on surrounding words rather than just the word that immediately precedes or follows it.
The main idea of this project is of Transfer Learning. Bert large 24 encoder Questions Answering model was fine tuned on specific task of Questions Answering. Currently for Demo purposes it is Hosted on free Heroku platform. Please take a moment to catch up the twisting idea.
In BIOASQ TASK 9A total Number of articles present are 15,559,157 which is around 25.6 GB in size and Total Number of MeSH Covered in These articles are 29,369
Clairvoyante: a multi-task convolutional deep neural network for variant calling in Single Molecule Sequencing
Search using Attention based Sentence Transformers
CnOCR: Awesome Chinese/English OCR toolkits based on PyTorch/MXNet, It comes with 20+ well-trained models for different application scenarios and can be used directly after installation. γεΊδΊ PyTorch/MXNet ηδΈζ/θ±ζ OCR Python ε
γγ
PyTorch code for the CVPR'23 paper: "CODA-Prompt: COntinual Decomposed Attention-based Prompting for Rehearsal-Free Continual Learning"
I am Uploading 2 folders,File Upload React Flask Module and Flask owais Backend Module . File upload React Flask Module contains the way how to upload the file in react and do preprocessing on it in flask.What I want to you to do is to create a similar method with ARES UI so that once the file gets uploaded it will come to the server side.... and after that I will be able to implement Flask Owais Backend there.
All the modules are working fine
Microsoft Azure Cognitive Services Speech SDK for JavaScript
Making large AI models cheaper, faster and more accessible
Early diagnosis is the single most important factor when determining any disease outcomes. Two thirds of diseases can be cured if diagnosed early. Canary uses proven biomarkers and proprietary Nano Sensors to map and uncover hidden data in your breath, so Covid-19,Cancers and other diseases can be detected early and treated more successfully.
React
Typescript
Django
Laravel
Facebook
Microsoft
Google
Alibaba
D3
Tencent