Rafiuddin khan's repositories
Yolo-Training-GoogleColab
Helmet Detection using tiny-yolo-v3 by training using your own dataset and testing the results in the google colaboratory.
Bio-Medical-NER
This project is designed to extract biomedical entities using Langchain and openAI.
Adventures-in-TensorFlow-Lite
This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.
Custom-Object-Detection
Custom object detection using the state-of-the-art deeplearning architecture like SSD, FasterRCNN, MobilenetV2
awesome-tflite
A curated list of awesome TensorFlow Lite models, samples, tutorials, tools and learning resources.
BERT-for-Mobile
Compares the DistilBERT and MobileBERT architectures for mobile deployments.
Disease-Prediction-from-Symptoms
Disease Prediction based on Symptoms.
e2e-tflite-tutorials
Project tracking of the "Mobile ML Working Group", for the End-to-End TensorFlow Lite tutorials.
easy-yolov7
This a clean and easy-to-use implementation of YOLOv7 in PyTorch, made with ❤️ by Theos AI.
emotion-classification-from-audio-files
Understanding emotions from audio files using neural networks and multiple datasets.
HAR-Transformer
Transformer for Human Activity Recognition
mobile-ffmpeg
FFmpeg for Android, iOS and tvOS
question_generation
Neural question generation using transformers
rafi.github.io
AI researcher and developing products for good.
rafiuddinkhan
Config files for my GitHub profile.
Rasa_Deployment
Chatbot
silero-vad
Silero VAD: pre-trained enterprise-grade Voice Activity and Number Detector
symptom-disease-api
An API for finding disease by its symptoms, using Aws API gateway, Lambda functions and DynamoDB.
TTS_TFLite
This repository is a collection of TTS Models in TFLite
ultimateALPR-SDK
World's fastest ANPR / ALPR implementation for CPUs, GPUs, VPUs and FPGAs using deep learning (Tensorflow, Tensorflow lite, TensorRT & OpenVINO). Multi-OS (Android, Linux, Windows, Raspberry Pi, NVIDIA Jetson) and Multi-Arch (ARM, x86).
vosk-android-demo
Offline speech recognition for Android with Vosk library.