Abhijit Roy's starred repositories
PettingZoo
An API standard for multi-agent reinforcement learning environments, with popular reference environments and related utilities
SegLossOdyssey
A collection of loss functions for medical image segmentation
keras-yolo2
Easy training on custom dataset. Various backends (MobileNet and SqueezeNet) supported. A YOLO demo to detect raccoon run entirely in brower is accessible at https://git.io/vF7vI (not on Windows).
keras-yolo3
Training and Detecting Objects with YOLO3
Reinforcement_Learning
Deep Reinforcement Learning Algorithms implemented with Tensorflow 2.3
Deep-Reinforcement-Learning-Hands-On
Hands-on Deep Reinforcement Learning, published by Packt
Human-Image-Segmentation-with-DeepLabV3Plus-in-TensorFlow
DeepLabV3+ with squeeze and excitation network for human image segmentation in TensorFlow 2.5.0
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Multiclass-Semantic-Segmentation-CamVid
Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.
robot-surgery-segmentation
Wining solution and its improvement for MICCAI 2017 Robotic Instrument Segmentation Sub-Challenge
blog-resources
This repo will contain the resources available in my blog for learning
Deep-Learning-Experiments
Videos, notes and experiments to understand deep learning
break-the-ice-with-python
The repository is about 100+ python programming exercise problem discussed, explained, and solved in different ways
CBAM-keras
CBAM implementation on Keras
Andrew-NG-Notes
This is Andrew NG Coursera Handwritten Notes.
2020-CBMS-DoubleU-Net
Official implementation of DoubleU-Net for Semantic Image Segmentation in TensorFlow & Pytorch (Nominated for Best Paper Award (IEEE CBMS))
Applied-Deep-Learning
Applied Deep Learning Course
Deep-Learning-Coursera
Deep Learning Specialization by Andrew Ng, deeplearning.ai.
Keras-frcnn
Keras Implementation of Faster R-CNN
crfasrnn_keras
CRF-RNN Keras/Tensorflow version