• Stars
    star
    1
  • Language
    Python
  • Created almost 5 years ago
  • Updated 8 months ago

Reviews

There are no reviews yet. Be the first to send feedback to the community and the maintainers!

Repository Details

More Repositories

1

fasterrcnn-pytorch-training-pipeline

PyTorch Faster R-CNN Object Detection on Custom Dataset
Jupyter Notebook
205
star
2

Traffic-Light-Detection-Using-YOLOv3

Traffic light detection using deep learning with the YOLOv3 framework. PyTorch => YOLOv3
Jupyter Notebook
59
star
3

vision_transformers

Vision Transformers for image classification, image segmentation, and object detection.
Python
40
star
4

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
20
star
5

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

Deep learning semantic segmentation on the Camvid dataset using PyTorch FCN ResNet50 neural network.
Python
12
star
6

attention_is_all_you_need

Implementation of language model papers along with several examples [NOT ALL WRITTEN FROM SCRATCH].
Python
12
star
7

Pneumonia-Detection-using-Deep-Learning

Detecting pneumonia from chest radiographs using deep learning with the PyTorch framework. Faster RCNN ResNet50 backbone.
Python
11
star
8

German-Traffic-Sign-Recognition-with-Deep-Learning

Recognizing traffic signs with deep learning and PyTorch using Spatial Transformer Convolutional Neural Networks.
Jupyter Notebook
8
star
9

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.
Python
4
star
10

local_file_search

Local file search using embedding techniques
Python
4
star
11

lm_sft

Various LMs/LLMs below 3B parameters (for now) trained using SFT (Supervised Fine Tuning) for several downstream tasks
Jupyter Notebook
4
star
12

Diabetic-Retinopathy-NN

Jupyter Notebook
3
star
13

detr-custom-training

Training DETR (Detection Transformer) on custom object detection datasets.
Python
3
star
14

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.
Python
3
star
15

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.
Python
3
star
16

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.
Python
2
star
17

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.
Python
2
star
18

chat_llama

Chat with LLama 2 models (locally)
Python
2
star
19

pytorch-dcgan-framework

A small PyTorch framework to try out and train DCGAN on different datasets.
Python
1
star
20

Semantic-Segmentation-using-Fully-Convlutional-Networks

Implementation of Fully Convolutional Network for semantic segmentation using PyTorch framework
Python
1
star
21

opencv-resize-heroku-test

Python
1
star
22

pytorch-efficientdet-api

A PyTorch EfficientDet API for easy training and inference on custom datasets.
Python
1
star
23

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.
Python
1
star
24

English-to-French-Neural-Machine-Translator

A deep learning model to translate English sentences to French sentences.
Jupyter Notebook
1
star
25

gpt_instruct

GPT instruct based models in less than a billion parameters.
Jupyter Notebook
1
star
26

efficient_seg

Python
1
star