A nice collection of often useful awesome Python frameworks, libraries and software. Python Awesome
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Python Awesome

A nice collection of often useful awesome Python frameworks, libraries and software.

1072 posts •
13 December 2019

StyleGAN2 - Official TensorFlow Implementation

Abstract: The style-based GAN architecture (StyleGAN) yields state-of-the-art results in data-driven unconditional generative image modeling.

Machine Learning
13 December 2019

Build neat pipelines with the right abstractions to do AutoML

Build neat pipelines with the right abstractions to do AutoML. Let your pipeline steps have hyperparameter spaces.

Machine Learning
12 December 2019

Implementation of Trajectory classes and functions built on top of GeoPandas

MovingPandas implements a Trajectory class and corresponding methods based on GeoPandas.

Geolocation
12 December 2019

Designing Two Dimensional Local Attention Mechanisms for Generative Models

Code for paper: "Your Local GAN: Designing Two Dimensional Local Attention Mechanisms for Generative Models".

Machine Learning
11 December 2019

A Simple Data Processing Method to Improve Robustness and Uncertainty

We propose AugMix, a data processing technique that mixes augmented images and enforces consistent embeddings of the augmented images, which results in increased robustness and improved uncertainty calibration.

Database
11 December 2019

Generate colors based on a desired contrast ratio

Authoring adaptive color palettes for generating color based on a desired contrast ratio.

Color
10 December 2019

Pytorch implementation of Learning Rate Dropout

Pytorch implementation of Learning Rate Dropout.

Machine Learning
09 December 2019

A PyTorch implementation of learning rate dropout

This repo contains a PyTorch implementation of learning rate dropout from the paper "Learning Rate Dropout" by Lin et al.

Machine Learning
09 December 2019

Predict 3d human pose from video

Convert video to 3D pose in one-key.

Computer Vision
09 December 2019

Using Machine Learning to learn how to Compress

Using Machine Learning to learn how to Compress.

Machine Learning
09 December 2019

A Deep Dive into NLP with PyTorch

Learn how to use PyTorch to solve some common NLP problems with deep learning. View these notebooks on nbviewer.

Machine Learning
09 December 2019

Reinforced Recommendation toolkit build around pytorch 1.3

This is my school project. It focuses on Reinforcement Learning for personalized news recommendation.

Machine Learning
09 December 2019

A simple Plants Vs Zombies game with python

a simple PlantsVsZombies game.

Games
09 December 2019

Deep learning framework for satellite imagery analysis based on PyTorch

TorchSat is an open-source deep learning framework for satellite imagery analysis based on PyTorch.

Machine Learning, Framework
08 December 2019

An end-to-end PyTorch framework for image and video classification

Classy Vision is a new end-to-end, PyTorch-based framework for large-scale training of state-of-the-art image and video classification models.

Deep Learning, Machine Learning
08 December 2019

A video game written in Rust using the ggez engine and the ECS library

ToCenter is a video game written in Rust using the ggez engine and the ECS library. This game is my hobby project and not considerate a best example use ggez.

Games
08 December 2019

Natural Language Processing Best Practices & Examples

In recent years, natural language processing (NLP) has seen quick growth in quality and usability, and this has helped to drive business adoption of artificial intelligence (AI) solutions.

Natural Language Processing
07 December 2019

Car Recognition with Deep Learning

This repository is to do car recognition by fine-tuning ResNet-152 with Cars Dataset from Stanford.

Deep Learning
07 December 2019

Accelerated Text helps you automatically generate natural language descriptions

Accelerated Text helps you automatically generate natural language descriptions of your data varying in wording and structure.

Natural Language Processing
07 December 2019

Open deep learning compiler stack for cpu and specialized accelerators

Apache TVM (incubating) is a compiler stack for deep learning systems.

Deep Learning
06 December 2019

Deep Learning Framework for various Image Recognition Tasks

Deep Learning Framework for various Image Recognition Tasks. Photogrammetry and Robotics Lab, University of Bonn.

Deep Learning, Machine Learning
06 December 2019

NER markup visualization for Jupyter Notebook

NER markup visualization for Jupyter Notebook.

Natural Language Processing
06 December 2019

Tensorflow implementation of PersonLab

An Tensorflow implementation of PersonLab for Multi-Person Pose Estimation and Instance Segmentation.

Computer Vision
06 December 2019

A Unified MRC Framework for Named Entity Recognition

The repository contains the code of the recent research advances in Shannon.AI.

Natural Language Processing
04 December 2019

Refinement and Merging for Video Object Segmentation

Proposal-generation, Refinement and Merging for Video Object Segmentation.

Machine Learning
Latest
StyleGAN2 - Official TensorFlow Implementation
2019-12-13
Build neat pipelines with the right abstractions to do AutoML
2019-12-13
Implementation of Trajectory classes and functions built on top of GeoPandas
2019-12-12
Designing Two Dimensional Local Attention Mechanisms for Generative Models
2019-12-12
A Simple Data Processing Method to Improve Robustness and Uncertainty
2019-12-11
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Machine Learning 536 Command-line Tools 63 Images 59 Natural Language Processing 56 Framework 44 Data Visualization 43 Deep Learning 39 Web Crawling & Web Scraping 26 Miscellaneous 24 Security 20 Games 20 DevOps Tools 18 CMS 16 Audio 16 Network 15 Tool 12 Data Analysis 11 Date and Time 10 HTTP 8 Testing 8 Documentation 8 Admin Panels 7 Caching 7 Video 7 Face recognition 7 Database 7 Patterns 6 E-commerce 6 Logging 5 Geolocation 5
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