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academic-kickstart

📝 Easily create a beautiful website using Academic, Hugo, and Netlify

academicpages.github.io

Github Pages template for academic personal websites, forked from mmistakes/minimal-mistakes

ajitsarkaar.github.io

awesome-autonomous-vehicles

Curated List of Self-Driving Cars and Autonomous Vehicles Resources

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-courses

:books: List of awesome university courses for learning Computer Science!

benchmarks

A benchmark framework for Tensorflow

cityscapesscripts

README and scripts for the Cityscapes Dataset

cloud_software_app_java_ee

Cloud software application for Blacksburg Wine Lab

cocoapi

COCO API - Dataset @ http://cocodataset.org/

computer-vision-interview

Interview questions to ponder related to computer vision.

conv_arithmetic

A technical report on convolution arithmetic in the context of deep learning

cs231n

cs4804-artificial-intelligence

Can't release solutions since I am a teaching assistant for this course.

cv_ml_prog_prep

Computer vision, machine learning and programming interview prep

deeplearningexamples

Deep Learning Examples

detectron2

Detectron2 is FAIR's next-generation research platform for object detection and segmentation.

ece5554-computer-vision

ece5565-network-architecture-and-protocols

Networking Projects

einops

Deep learning operations reinvented (for pytorch, tensorflow, jax and others)

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fast-rcnn

Fast R-CNN

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

jekyll

:globe_with_meridians: Jekyll is a blog-aware static site generator in Ruby

machine-learning-interview-enlightener

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mlquestions

Machine Learning and Computer Vision Engineer - Technical Interview Questions

production-level-deep-learning

A guideline for building practical production-level deep learning systems to be deployed in real world applications.

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytorch_cats_and_dogs

A deep CNN for classifying cats and dogs in PyTorch