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gfpgan

GFPGAN aims at developing Practical Algorithms for Real-world Face Restoration.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

iaml2017

Introductory Applied Machine Learning (INFR09029)

imaginaire

NVIDIA PyTorch GAN library with distributed and mixed precision support

inc5000_data_viz_project

Full Stack Data Visualization Platform

industry-machine-learning

A curated list of applied machine learning and data science notebooks and libraries across different industries.

instagan

PyTorch implementation of "InstaGAN: Instance-aware Image Translation" (ICLR 2019)

kaggle-cvpr-2018-wad-video-segmentation-challenge-solution

Kaggle Competition, Instance Segmentation

kaggle-rsna-intracranial-hemorrhage

kdd19-tutorial

KDD19 Tutorial: From Shallow to Deep Language Representations: Pre-training, Fine-tuning, and Beyond

layoutlmv3

Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities

learnopencv

Learn OpenCV : C++ and Python Examples

leetcode

lightgbm_vs_xgboost

Compare light GBM and XGBoost model

machine-learning-programming-assignments-coursera-andrew-ng

Solutions to Andrew NG's machine learning course on Coursera

machine-learning-web-apps

Building and Embedding Machine Learning Model into a Web App(With Flask,etc)

mars_scraper

matplotlib-2.x-by-example

Matplotlib 2.x By Example, published by Packt

microblog

A microblogging web application written in Python and Flask that I developed as part of my Flask Mega-Tutorial series.

ml-from-scratch

Machine Learning From Scratch. Bare bones Python implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from data mining to deep learning.

neual-machine-translation

Bidirectional LSTM with Multiplicative Attention

neural-processes

This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).

nlp_course

YSDA course in Natural Language Processing

numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

odin

A simple and effective method for detecting out-of-distribution images in neural networks.

openai-cookbook

Examples and guides for using the OpenAI API

openrec

OpenRec is an open-source and modular library for neural network-inspired recommendation algorithms

paddleocr

Awesome multilingual OCR toolkits based on PaddlePaddle (practical ultra lightweight OCR system, support 80+ languages recognition, provide data annotation and synthesis tools, support training and deployment among server, mobile, embedded and IoT devices)

patent

US Patent-METHOD FOR OPTIMAL PATH SELECTION IN TRAVERSAL OF PACKETS THROUGH NETWORK ADDRESS TRANSLATORS

plagiarism-detection-model-aws

SageMaker Plagiarism Detector Model