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fasterrcnn-pytorch-training-pipeline
PyTorch Faster R-CNN Object Detection on Custom DatasetTraffic-Light-Detection-Using-YOLOv3
Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3vision_transformers
Vision Transformers for image classification, image segmentation, and object detection.image-deblurring-using-deep-learning
PyTorch implementation of image deblurring using deep learning. Use a simple convolutional autoencoder neural network to deblur Gaussian blurred images.CamVid-Image-Segmentation-using-FCN-ResNet50-with-PyTorch
Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.attention_is_all_you_need
Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].Pneumonia-Detection-using-Deep-Learning
Detecting pneumonia from chest radiographs using deep learning with the PyTorch framework. Faster RCNN ResNet50 backbone.German-Traffic-Sign-Recognition-with-Deep-Learning
Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.SSD300-VGG11-on-Pascal-VOC-2005-Data
This project trains a SSD300 with VGG11 base on the PASCAL VOC 2005 dataset using the PyTorch deep learning framework.local_file_search
Local file search using embedding techniqueslm_sft
Various LMs/LLMs below 3B parameters (for now) trained using SFT (Supervised Fine Tuning) for several downstream tasksDiabetic-Retinopathy-NN
detr-custom-training
Training DETR (Detection Transformer) on custom object detection datasets.Video-Recognition-using-Deep-Learning
This project uses deep learning and the PyTorch framework to detect sports action categories in videos in real-time. The neural network is a simple custom neural network built with PyTorch.Deep-Learning-Image-Super-Resolution
This is a deep learning project based on the Image Super-Resolution Using Deep Convolutional Networks - SRCNN paper using the PyTorch deep learning library.Robust_Neural_Networks_by_Adding_Noise_to_Data
PyTorch implementation of building robust deep learning neural networks by adding noise to image data before training.chat_llama
Chat with LLama 2 models (locally)pytorch-dcgan-framework
A small PyTorch framework to try out and train DCGAN on different datasets.Semantic-Segmentation-using-Fully-Convlutional-Networks
Implementation of Fully Convolutional Network for semantic segmentation using PyTorch frameworkopencv-resize-heroku-test
pytorch-efficientdet-api
A PyTorch EfficientDet API for easy training and inference on custom datasets.Fast-and-Accurate-Human-Detection-with-HOG
This project used OpenCV HOG people detector to build an accurate and fast enough implementation to detect people in images and videos.English-to-French-Neural-Machine-Translator
A deep learning model to translate English sentences to French sentences.gpt_instruct
GPT instruct based models in less than a billion parameters.Diabetic-Retinopathy
efficient_seg
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