pretrained-model

Large-scale pretrained models for goal-directed dialog

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

PyTorch implementation of "FullSubNet: A Full-Band and Sub-Band Fusion Model for Real-Time Single-Channel Speech Enhancement."

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.

PyTorch implementation of a collections of scalable Video Transformer Benchmarks.

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

Mining Discourse Markers for Unsupervised Sentence Representation Learning

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}

Implemenation of Selective Kernel Networks by pytorch with pretrained weight

Forest Fire Detection By Convolutional Neural Network

Sentiment analysis using bert

Content-based image/video retrieval apllication using pre-trained CNN.

Recognition of Quebec road signs using transfer learning with Python.