Nitin Nilesh's repositories
MRF-Segmentation
Markov Random field based semantic segmentation implemented as project for Computer Vision (CSE 578) course at IIIT Hyderabad.
Neural-Network-From-Scratch
Multilayer Neural Network from Scratch.
Cog-Sci-WebApp
Questionnaire Web app for Cognitive Science Project
Color-Transfer-Between-Images
Project work of DIP course
ConvNet-Image_Captioning
SMAI CSE471 Project - Image Captioning
Deep-learning-books
Books for machine learning, deep learning, math, NLP, CV, RL, etc
Fake-News-Detection
Course Project of IRE M-18
awesome-computer-vision-in-sports
A comprehensive list of papers on computer vision in sports
Awesome-pytorch-list
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
deep-learning-v2-pytorch
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
DeepLearning.ai-Summary
This repository contains my personal notes and summaries on DeepLearning.ai specialization courses. I've enjoyed every little bit of the course hope you enjoy my notes too.
keras
Deep Learning for humans
nbdev-test
This repo is to test nbdev.
nitinnilesh.github.io
Nitin Nilesh personal webpage
PBL-Chapter
This repository contains the LaTeX file and the images for the PBL chapter writing.
pyimagesearch
Diving into PyImageSearch
pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
pytorch-image-models
PyTorch image models, scripts, pretrained weights -- ResNet, ResNeXT, EfficientNet, EfficientNetV2, NFNet, Vision Transformer, MixNet, MobileNet-V3/V2, RegNet, DPN, CSPNet, and more
pytorch-tutorial
PyTorch Tutorial for Deep Learning Researchers
PyTorchZeroToAll
Simple PyTorch Tutorials Zero to ALL!
Spelled-Out-Intro-to-Graph-Convolution-Networks
This repository is the implementation of the paper Semi-Supervised Classification With Graph Convolutional Networks (aka GCN) by Kipf et al., ICLR 2017.
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite