khuongnd Goto Github PK

-introduction-to-tensorflow-for-artificial-intelligence-machine-learning-and-deep-learning

abinet

Read Like Humans: Autonomous, Bidirectional and Iterative Language Modeling for Scene Text Recognition

advanced-deep-learning-with-keras

Advanced Deep Learning with Keras, published by Packt

advanced_ml_algorithms

This repository will implement modern and advanced machine learning algorithms

algforopt-notebooks

Jupyter notebooks associated with the Algorithms for Optimization textbook

algorithmic-trading-python

The repository for freeCodeCamp's YouTube course, Algorithmic Trading in Python

applied-deep-learning

Applied Deep Learning

atsne

Anchor-t-SNE for large-scale and high-dimension vector visualization

attention-cnn

Source code for "On the Relationship between Self-Attention and Convolutional Layers"

awesome-deep-learning-papers-for-search-recommendation-advertising

Awesome Deep Learning papers for industrial Search, Recommendation and Advertising. They focus on Embedding, Matching, Ranking (CTR prediction, CVR prediction), Post Ranking, Transfer, Reinforcement Learning, Self-supervised Learning and so on.

awesome-gans

Awesome Generative Adversarial Networks with tensorflow

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

azure-databricks-cookbook

Azure Databricks Cookbook, Published by Packt

barlowtwins

PyTorch implementation of Barlow Twins.

bayesian-analysis-with-python

Bayesian Analysis with Python by Packt

billion-scale-semi-supervised-learning

Implementing Billion-scale semi-supervised learning for image classification using Pytorch

building-restful-web-services-with-go

Building RESTful Web Services with Go, published by Packt

calibratedmodelbasedrl

Code for "Calibrated Model-Based Deep Reinforcement Learning", ICML 2019.

codecapybara

cvpr2022-dagan

Official code for CVPR2022 paper: Depth-Aware Generative Adversarial Network for Talking Head Video Generation

d2l-vn

Bản dịch cuốn sách "Dive into Deep Learning"

databook_python

IPython notebooks with demo code intended as a companion to the book "Data-Driven Science and Engineering: Machine Learning, Dynamical Systems, and Control" by Steven L. Brunton and J. Nathan Kutz

dcc

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

deep-learning-v2-pytorch

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

deep-learning-with-keras

Code repository for Deep Learning with Keras published by Packt

deep-learning-with-pytorch

Deep Learning with PyTorch, published by Packt

deep-learning-with-tensorflow-and-keras-3rd-edition

Deep Learning with TensorFlow and Keras – 3rd edition, Published by Packt

deep-learning-with-tensorflow-second-edition

Deep Learning with TensorFlow – Second Edition, published by Packt