6347 Open source projects that are alternatives of or similar to Hands On Deep Learning Algorithms With Python

Toolkit to obtain and preprocess german corpora, train models using word2vec (gensim) and evaluate them with generated testsets

Representation learning for link prediction within social networks

PyTorch implementation of GANs (Generative Adversarial Networks). DCGAN, Pix2Pix, CycleGAN, SRGAN

tensorflow implementation of Grad-CAM (CNN visualization)

Rethinking Data Augmentation for Image Super-resolution (CVPR 2020)

Implementation of spatial transformer networks (STNs) in keras 2 with tensorflow as backend.

摩拜单车爬虫

The Go kernel for Jupyter notebooks and nteract.

Word to Gaussian Mixture Model

Codes for weekly challenges on Deep Learning by Siraj

No description, website, or topics provided.

Collection of presentations for advanced Python topics

TensorFlow实战，使用LSTM预测彩票

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

DrQ: Data regularized Q

Pytorch starter kit for Kaggle competitions

pytorch version of neural collaborative filtering

My notes and codes (jupyter notebooks) for the "The Elements of Statistical Learning" by Trevor Hastie, Robert Tibshirani and Jerome Friedman

Graph Classification with Graph Convolutional Networks in PyTorch (NeurIPS 2018 Workshop)

讲解常见的机器学习算法

C# kernel for Jupyter

My implementation of various GAN (generative adversarial networks) architectures like vanilla GAN (Goodfellow et al.), cGAN (Mirza et al.), DCGAN (Radford et al.), etc.

Noah Research

links to conference publications in graph-based deep learning

The Hunting ELK

Human-explainable AI.

Implementations for my blog post [here](https://medium.com/@TalPerry/deep-learning-the-stock-market-df853d139e02#.flflpo3xf)

Tutorial: Natural Language Processing in Python

Introduction to Mathematical Computing with Python and Jupyter

Notebooks and libraries for spatial/geo Python explorations

Patent analysis using the Google Patents Public Datasets on BigQuery

These are my notes which I prepared during deep learning specialization taught by AI guru Andrew NG. I have used diagrams and code snippets from the code whenever needed but following The Honor Code.

Short Tutorial to Probabilistic Graphical Models(PGM) and pgmpy

An implementation of our CVPR 2018 work 'Domain Adaptive Faster R-CNN for Object Detection in the Wild'

The code to reproduce results from paper "MultiFiT: Efficient Multi-lingual Language Model Fine-tuning" https://arxiv.org/abs/1909.04761

Code from my experiments on Numerai

Parallel computing in Python tutorial materials

Translations of TensorFlow documentation

https://madewithml.com/

FC-DenseNet in PyTorch for Semantic Segmentation

Machine Learning for Algorithmic Trading, Second Edition - published by Packt

Tensorflow implementation of our paper: Few-shot 3D Multi-modal Medical Image Segmentation using Generative Adversarial Learning

A tutorial for widgets

Tensorflow tutorial for various Deep Neural Network visualization techniques

Two-talker Speech Separation with LSTM/BLSTM by Permutation Invariant Training method.

个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释

PyTorch implementation of Soft Actor-Critic (SAC), Twin Delayed DDPG (TD3), Actor-Critic (AC/A2C), Proximal Policy Optimization (PPO), QT-Opt, PointNet..

Cookiecutter template for data scientists working with Docker containers

Area-weighted venn-diagrams for Python/matplotlib

Semantic image segmentation in Tensorflow

Code repo for "LSTM Pose Machines" (CVPR'18)

A Deep Learning based project for creating line art portraits.

Cool Python features for machine learning that I used to be too afraid to use. Will be updated as I have more time / learn more.