Discover @sovit-123 Open Source projects

Sovit Ranjan Rath (@sovit-123)

sovit-123

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Registered about 7 years ago
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Python
69.2 %

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Location 🇮🇳 India
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Jupyter Notebook
144

Python
1,083

fasterrcnn-pytorch-training-pipeline

PyTorch Faster R-CNN Object Detection on Custom Dataset

Jupyter Notebook

Traffic-Light-Detection-Using-YOLOv3

Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3

Jupyter Notebook

vision_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.

Jupyter Notebook

attention_is_all_you_need

Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].

CamVid-Image-Segmentation-using-FCN-ResNet50-with-PyTorch

Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.

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.

Jupyter Notebook

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.

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.

Diabetic-Retinopathy-NN

Jupyter Notebook

American-Sign-Language-Detection-using-Deep-Learning

This project aims to detect American Sign Language using PyTorch and deep learning. The neural network can also detect the sign language letters in real-time from a webcam video feed.

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.

lm_sft

Various LMs/LLMs below 3B parameters (for now) trained using SFT (Supervised Fine Tuning) for several downstream tasks

Jupyter Notebook

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.

detr-custom-training

Training DETR (Detection Transformer) on custom object detection datasets.

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 framework

opencv-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.

Jupyter Notebook

gpt_instruct

GPT instruct based models in less than a billion parameters.

Jupyter Notebook

Diabetic-Retinopathy

efficient_seg