sajid3 Goto Github PK

advancedalgorithms

ai-expert-roadmap

Roadmap to becoming an Artificial Intelligence Expert in 2020

android_guides

Extensive Open-Source Guides for Android Developers

apis

Code Repo for API course in Fullstack ND

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-cpp

A curated list of awesome C++ (or C) frameworks, libraries, resources, and shiny things. Inspired by awesome-... stuff.

awesome-cv

:page_facing_up: Awesome CV is LaTeX template for your outstanding job application

awesome-local-global-descriptor

My personal note about local and global descriptor

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

blvnet-tam

The official Codes for NeurIPS 2019 paper. Quanfu Fan, Ricarhd Chen, Hilde Kuehne, Marco Pistoia, David Cox, "More Is Less: Learning Efficient Video Representations by Temporal Aggregation Modules"

book-deep-learning-applications-with-applications-using-python

Chapterwise code available in the book

carla

Open-source simulator for autonomous driving research.

complete-python-bootcamp

Lectures for Udemy - Complete Python Bootcamp Course

conv_arithmetic

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

convnetjs

Deep Learning in Javascript. Train Convolutional Neural Networks (or ordinary ones) in your browser.

coolpro

cornell-cs5670-2019

This is the course project website for Cornell CS5670, 2019 Spring

courses

fast.ai Courses

credible-or-not-credible-clients

To predict who is going to default payment next month with an accuracy metric of F1_score.

crowd_counting_from_scratch

This is an overview and tutorial about crowd counting. In this repository, you can learn how to estimate number of pedestrians in crowd scenes through computer vision and deep learning.

cuda-samples

Samples for CUDA Developers which demonstrates features in CUDA Toolkit

cv

dasiamrpn

[ECCV2018] Distractor-aware Siamese Networks for Visual Object Tracking

data-science--cheat-sheet

Cheat Sheets

datasciencecoursera

Data Science Repo and blog for John Hopkins Coursera Courses. Please let me know if you have any questions.

deep-learning-for-tracking-and-detection

Collection of papers, datasets, code and other resources for object tracking and detection using deep learning

deep-learning-models

Keras code and weights files for popular deep learning models.

deep-learning-projects

Projects Implemented in Tensor-flow | Regression | CNN | RNN | LSTM | GAN|

deep-learning-with-python-notebooks

Jupyter notebooks for the code samples of the book "Deep Learning with Python"

deep-local-features

Using Deep Local Features to differentiate between images of very similar products