ardalanh Goto Github PK

100days

100 days of algorithms

adjacency_graph

This is a bidirectional and weighted graph model with simple path finding options.

alchemy-circles-generator

A simple procedural generator of alchemy circles

algorithms

Minimal examples of data structures and algorithms in Python

alpr

AI course project - Automatic license plate recognition

awesome-godot

A curated list of free/libre plugins, scripts and add-ons for Godot

awesome-public-datasets

A topic-centric list of high-quality open datasets in public domains. Propose NEW data ☛☛☛PR☛☛☛

cheatsheets-ai

Essential Cheat Sheets for deep learning and machine learning researchers

datasets

CSV datasets used in Plotly API examples

deep-learning-specialization-coursera

Deep Learning Specialization by Andrew Ng on Coursera.

develandoo_task

facenet

Face recognition using Tensorflow

godot_tutorials

Code and examples for KidsCanCode Godot Tutorials.

high-school-guide-to-machine-learning

Being a high schooler myself and having studied Machine Learning and Artificial Intelligence for a year now, I believe that there fails to exist a learning path in this field for High School students. This is my attempt at creating one.

learn_machine_learning_in_3_months

This is the code for "Learn Machine Learning in 3 Months" by Siraj Raval on Youtube

merrychristmas

A python christmas tree in the terminal.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK, PyTorch Onnx and CoreML.

myreddit

Practicing Django by creating a web similar to reddit.

myurl_shortener

A sample url shortener site as an interview task.

nlp-progress

Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.

noorchurn

noorstreamlit

pg2dm-python

pro-deep-learning-w-tensorflow

Source code for 'Pro Deep Learning with TensorFlow' by Santanu Pattanayak

probabilistic-programming-and-bayesian-methods-for-hackers

aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)

prodeeplearning

pygame_tutorials

Code to go along with lessons at http://kidscancode.org/lessons

pygorithm

A Python module for learning all major algorithms

pysot

SenseTime Research platform for single object tracking, implementing algorithms like SiamRPN and SiamMask.

python-machine-learning-book-2nd-edition

The "Python Machine Learning (2nd edition)" book code repository and info resource