Popular GitHub Repositories for Cholect50

Tools to Design or Visualize Architecture of Neural Network

My first Python repo with codes in Machine Learning, NLP and Deep Learning with Keras and Theano

An easy implementation of Faster R-CNN (https://arxiv.org/pdf/1506.01497.pdf) in PyTorch.

Unofficial implementation with pytorch DistributedDataParallel for "MoCo: Momentum Contrast for Unsupervised Visual Representation Learning"

Dynamic and static models for real-time facial emotion recognition

Bone Fracture Detection using deep learning (Resnet50) - Final project in the fourth year of the degree

A Multi-Class Brain Tumor Classifier using Convolutional Neural Network with 99% Accuracy achieved by applying the method of Transfer Learning using Python and Pytorch Deep Learning Framework

Official implementation for CVPR2023 Paper "Re-IQA : Unsupervised Learning for Image Quality Assessment in the Wild"

CP and Tucker decomposition for Convolutional Neural Networks

This project implements token calculation for OpenAI's gpt-4 and gpt-3.5-turbo model, specifically using `cl100k_base` encoding.

Brain Tomur Classification Using Pre-trained Models

Multiclass image classification using Convolutional Neural Network

[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning

:trollface: 本科毕业设计：针对Deepfake假脸视频面部细节特征的提取算法

This model is created using pre-trained CNN architecture (VGG16 and RESNET50) via Transfer Learning that classifies the Waste or Garbage material (class labels =7) for recycling.

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Base on tensorrt version 8.2.4, compare inference speed for different tensorrt api.

An Image captioning web application combines the power of React.js for front-end, Flask and Node.js for back-end, utilizing the MERN stack. Users can upload images and instantly receive automatic captions. Authenticated users have access to extra features like translating captions and text-to-speech functionality.

License plate recognition . Model training and conversion to tflite

Some example projects that was made using Tensorflow (mostly). This repository contains the projects that I've experimented-tried when I was new in Deep Learning.