Prabhat Ligal's starred repositories
big-bear-casaos
This is a CasaOS third-party app store with some neat apps.
Microsoft-Azure-AZ-900-Microsoft-Azure-Fundamentals-Practice-Tests-Exams-Questions-Answers
⛳️ PASS: Microsoft Azure AZ-900 (Microsoft Azure Fundamentals) by learning based on our Questions & Answers (Q&A) Practice Tests Exams.
Svelto.ECS
Svelto ECS C# Entity Component System
firely-net-sdk
The official Firely .NET SDK for HL7 FHIR
Communication
Azure Communication Services - SDKs and Release Notes
awesome-FHIR
A curated list of awesome FHIR software, libraries, tools and resources, inspired by awesome-[technology]
Xamarin.AzureCommunicationCalling
Xamarin iOS and Android binding libraries for Microsofts Azure Communication Services
BERT_from_scratch
Training a BERT model from scratch.
ml-art-colabs
A list of Machine Learning Art Colabs
flutter_weather
An elegant, easy on the eyes weather app built with flutter
gesture-recognition
:hand: Recognizing "Hand Gestures" using OpenCV and Python.
Gesture_control_media_player
Gesture controlled media player
hand-gesture-recognition-mediapipe
This is a sample program that recognizes hand signs and finger gestures with a simple MLP using the detected key points. Handpose is estimated using MediaPipe.
NLPMetrics
Python code for various NLP metrics
x-transformers
A simple but complete full-attention transformer with a set of promising experimental features from various papers
Transformer-Explainability
[CVPR 2021] Official PyTorch implementation for Transformer Interpretability Beyond Attention Visualization, a novel method to visualize classifications by Transformer based networks.
Universal-Transformer-Pytorch
Implementation of Universal Transformer in Pytorch
transformer
Transformer: PyTorch Implementation of "Attention Is All You Need"
Transformers-Tutorials
This repository contains demos I made with the Transformers library by HuggingFace.
transformers-tutorial
The code for the video tutorial series on building a Transformer from scratch: https://www.youtube.com/watch?v=XR4VDnJzB8o
bottom-up-attention-vqa
An updated PyTorch implementation of hengyuan-hu's version for 'Bottom-Up and Top-Down Attention for Image Captioning and Visual Question Answering'
clip-attend-tell
CLIP, Attend, and Tell auguments the popular Show, Attend, Tell algorithm with the OpenAI CLIP model for image/text pairing. Implementation is adapted from the repository: a Pytorch Tutorial for Image Captioning
mt-captioning
A PyTorch implementation of the paper Multimodal Transformer with Multiview Visual Representation for Image Captioning
Transformer-Captioning
Optimized code based on M2 for faster image captioning training
transform-and-tell
[CVPR 2020] Transform and Tell: Entity-Aware News Image Captioning
Caption-Transformer
Captioning images using transformer