There are 1 repository under pretrained-model topic.
A Fundamental End-to-End Speech Recognition Toolkit and Open Source SOTA Pretrained Models, Supporting Speech Recognition, Voice Activity Detection, Text Post-processing etc.
PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."
PyTorch implementation of a collections of scalable Video Transformer Benchmarks.
A PyTorch implementation of the 'FaceNet' paper for training a facial recognition model with Triplet Loss using the glint360k dataset. A pre-trained model using Triplet Loss is available for download.
Real-time hand pose estimation and gesture classification using TensorRT
Image Synthesis + Corgis = <3
PyTorch implementation of "Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning" with DDP and Apex AMP
Code and released pre-trained model for our ACL 2022 paper: "DialogVED: A Pre-trained Latent Variable Encoder-Decoder Model for Dialog Response Generation"
ALBERT trained on Mongolian text corpus
This is an implementation of electra according to the paper {ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators}
Forest Fire Detection By Convolutional Neural Network
Source code of our SIGIR'24 paper titled "Leave No Patient Behind: Enhancing Medication Recommendation for Rare Disease Patients".
This API utilizes a pre-trained model for emotion recognition from audio files. It accepts audio files as input, processes them using the pre-trained model, and returns the predicted emotion along with the confidence score. The API leverages the FastAPI framework for easy development and deployment.
Lane detection using tensorflow pre-trained model
A repository which contains dataset and a pre-trained Snips model for the Automotive Grade Linux's NLU intent engine.
Using OpenCV's pretrained model yolov3 for real time object detection. (faster)
Sentiment analysis using bert
Blip Image Captioning + GPT-2 Happy Model: Generate joyful responses to image captions using state-of-the-art NLP and computer vision. Pretrained models and data preprocessing included for seamless integration. Explore the intersection of deep learning, sentiment analysis, and language generation
Official implementation of SpottingDiffusion : A CNN-based method of detecting AI generated images.
Recognition of Quebec road signs using transfer learning with Python.
A simulation about controlling a 2D car with hand gestures. The project is inspired and highly influenced by a tutorial from"cj-mills".
Tensorflow.js PWA for Diagnosing Pneumonia in Frontal Chest X-ray Images using Convolutional Neural Network and Pretrained Model š§
Implementing Transfer Learning using Resnet18. Training and testing Resnet18 on Even numbered Classes in CIFAR10 Dataset.
Classifying various animal species images using CNN