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all-of-statistics

Self-study on Larry Wasserman's "All of Statistics"

atp-wtp-ds-playground

This repo contains exploratory Data Analysis of the Tennis Data (Both ATP and WTP) and Match Prediction model

autodeeplab

Pytorch Implementation the paper Auto-DeepLab Hierarchical Neural Architecture Search for Semantic Image Segmentation

autolens_workspace

The PyAutoLens workspace

awesome

:sunglasses: Curated list of awesome lists

awesome-cv

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

awesome-electron

Useful resources for creating apps with Electron

awesome-learning-with-label-noise

A curated list of resources for Learning with Noisy Labels

awesome-podcasts

Collection of awesome podcasts

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. By everyone, for everyone!

awesome-quantum-machine-learning

Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web

basic-deep-learning-tools

The repo was created as a part of a student round discussino at Fraunhofer AISEC

behavioral-cloning

Third Project of the Udacity Self-Driving Car Nanodegree Program

blog

Blog for personal website

brainstorm_ml

Machine learning and deep learning brainstorming ideas.

carnd-alexnet-feature-extraction

This lab guides you through using AlexNet and TensorFlow to build a feature extraction network.

carnd-behavioral-cloning-p3

carnd-lanelines-p1

Lane Finding Project for Self-Driving Car ND

carnd-traffic-sign-classifier-project

Classify Traffic Signs.

classroom-page

This is the repository for all the content of the Classroom at DataNature

clever

CLEVER (Cross-Lipschitz Extreme Value for nEtwork Robustness) is a robustness metric for deep neural networks

clip_prefix_caption

Simple image captioning model

course-v3

The 3rd edition of course.fast.ai

documentation-html-template

A Sample Documentation Template for Themes, Templates and Plugins

emokit

Open source driver for accessing raw data from the Emotiv EPOC EEG headset

fairmot

A simple baseline for one-shot multi-object tracking

fairmot-1

This project provides an official implementation of our recent work on real-time multi-object tracking in videos. The previous works conduct object detection and tracking with two separate models so they are very slow. In contrast, we propose a one-stage solution which does detection and tracking with a single network by elegantly solving the alignment problem. The resulting approach achieves groundbreaking results in terms of both accuracy and speed: (1) it ranks first among all the trackers on the MOT challenges; (2) it is significantly faster than the previous state-of-the-arts. In addition, it scales gracefully to handle a large number of objects.

fastai_deeplearn_part1

Notes for Fastai Deep Learning Course

find-boundary

WARP Numpy assignement for IDP

fireplace

Frontend for the Firefox Marketplace