chikaobuah

deepcredit

How to predict credit defaulting?

HackerRank_solutions

317 efficient solutions to HackerRank problems

For-Newbies-Logistic_Regression-for-Image-Classification

Logistic_Regression for Image Classification Training material for Newbies

Python-Training-for-Newbies

A couple of scripts to help newbies in Python grasp the core quickly.

ARC

The Abstraction and Reasoning Corpus

arxiv-sanity-preserver

Web interface for browsing, search and filtering recent arxiv submissions

awesome-gcp-certifications

Google Cloud Platform Certification resources.

awesome-opensource-apps

:house::information_source: Curated list of awesome open source crafted web & mobile applications - Learn, Fork, Contribute & Most Importantly Enjoy!

Data-Science--Cheat-Sheet

Cheat Sheets

decaNLP

The Natural Language Decathlon: A Multitask Challenge for NLP

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

dlbook_notation

LaTeX files for the Deep Learning book notation

dotproduct

Multiplication of two Matrices using Numpy in Python

ELF

ELF: a platform for game research with AlphaGoZero/AlphaZero reimplementation

google-images-download

Python Script to download hundreds of images from 'Google Images'. It is a ready-to-run code!

handwriting

A SQL implementation of an ancient handwriting recognition algorithm.

interactive-coding-challenges

Interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.

itty-bitty

Itty.bitty is a tool to create links that contain small sites

lime

Lime: Explaining the predictions of any machine learning classifier

MathsFromExamples

Source code, datasets and trained models for the paper Learning Advanced Mathematical Computations from Examples (ICLR 2021), by François Charton, Amaury Hayat (ENPC-Rutgers) and Guillaume Lample

models

Models and examples built with TensorFlow

New-training-files

Prime factors function

pandas

Flexible and powerful data analysis / manipulation library for Python, providing labeled data structures similar to R data.frame objects, statistical functions, and much more

ParlAI

A framework for training and evaluating AI models on a variety of openly available dialog datasets.

Particle-Swarm-Optimization-for-Simple-Function

This is a simple example where the algorithm finds three numbers that add up to a target value. A fully connected neighborhood is used, so all particles can be compared to each other. Find three operands that add up to 50. Ten particles. V_MAX = 10

pyro

Deep universal probabilistic programming with Python and PyTorch

Python-for-Data-Scientists

Stockfish

UCI chess engine

transformers

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.