September 14, 2021 Tutorial

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification

Ready-to-use code and tutorial notebooks to boost your way into few-shot image classification. This repository is made for you if: you’re new to few-shot learning and want to learn; or you’re looking for reliable, clear and easily usable code that you can use for your projects. Don’t get lost in large repositories with hundreds of methods and no explanation on how to use them. Here, we want each line of code to be covered by a tutorial. What’s in there?

September 14, 2021 Rank

Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments

This is the Tensorflow implementation of ICLR 2021 paper Rank the Episodes: A Simple Approach for Exploration in Procedurally-Generated Environments. We propose a simple method RAPID for exploration through scroring the previous episodes and reproducing the good exploration behaviors with imitation learning. The implementation is based on OpenAI baselines. For all the experiments, add the option –disable_rapid to see the baseline result. RAPID can achieve better performance and sample efficiency than state-of-the-art exploration methods on MiniGrid environments. Cite This Work […]

September 14, 2021 Python

Using Data Classes in Python

One new and exciting feature that came out in Python 3.7 was the data class. A data class is a class typically containing mainly data, although there aren’t really any restrictions. With data classes, you don’t have to write boilerplate code to get proper initialization, representation, and comparisons for your objects. In this course, you’ll learn how to: Define your own data classes Add default values to the fields in your data class Customize the ordering of data class objects […]

September 14, 2021 Code

Understanding the Complexity of Metaclasses and their Practical Applications

Metaprogramming is a collection of programming techniques which focus on ability of programs to introspect themselves, understand their own code and modify themselves. Such approach to programming gives programmers a lot of power and flexibility. Without metaprogramming techniques, we probably wouldn’t have modern programming frameworks, or those frameworks would be way less expressive. This article is an excerpt from the book, Expert Python Programming, Fourth Edition by Michal Jaworski and Tarek Ziade – A book that expresses many years of professional experience in building all kinds of applications […]

September 14, 2021 AI-Jobs

The Top Skills for a Career in Datascience in 2021

Datascience is exploding in popularity due to how it’s tethered to the future of technology, supply-demand for high paying jobs and being on the bleeding edge of corporate culture, startups and innovation! Students from South and East Asia especially can fast track lucrative technology careers with data science even as tech startups are exploding in those areas with increased foreign funding. Think carefully. Would you consider becoming a Data Scientist? According to Coursera: A data scientist might do the following […]

September 13, 2021 Command-line Tools

Natural language computational chemistry command line interface

Install Must have Open-AI Codex key: export OPENAI_API_KEY= then nlcc key bindings ctrl-w copy to clipboard (Note, you may need to install xsel on linux) ctrl-q help ctrl-o reset context ctrl-z execute python code ctrl-t adjust temperature ctrl-u status ctrl-c quit ctrl-x write to file (same output as copy to clipboard) ctrl-l load from file ctrl-n update number of code responses ctrl-down Enter multiline. escape-enter to enter prompt or ctrl-down to leave GitHub https://github.com/whitead/nlcc

September 13, 2021 Wrapper

Pretty tornado wrapper for making lightweight REST API services

Pretty tornado wrapper for making lightweight REST API services Installation: Example: Project folders structure: . ├── handlers │ └── simple_handler.py ├── log ├── ssl │ ├── ca.csr │ └── ca.key ├── static_html │ └── index.html └── server_example.py server_example.py

September 13, 2021 Graph

Adaptive Graph Convolution for Point Cloud Analysis

This repository contains the implementation of AdaptConv for point cloud analysis. Adaptive Graph Convolution (AdaptConv) is a point cloud convolution operator presented in our ICCV2021 paper. If you find our work useful in your research, please cite our paper. Installation Classification classification.md Part Segmentation Indoor Segmentation coming soon GitHub https://github.com/hrzhou2/AdaptConv-master

September 13, 2021 Deep Learning

A deep stable learning method for out-of-distribution generalization

StableNet is a deep stable learning method for out-of-distribution generalization. This is the official repo for CVPR21 paper “Deep Stable Learning for Out-Of-Distribution Generalization” and the arXiv version can be found at https://arxiv.org/abs/2104.07876. Introduction Approaches based on deep neural networks have achieved striking performance when testing data and training data share similar distribution, but can significantly fail otherwise. Therefore, eliminating the impact of distribution shifts between training and testing data is crucial for building performance-promising deep models. Conventional methods assume […]

September 13, 2021 Telegram

A telegram bot can mention members upto 10,000 in groups

This bot can mention members upto 10,000 in groups and can mention members upto 200 in channels ! 🏷Infomation Language: Python. Telegram Library: Telethon. 🚀Deploy to heroku 🎯Credits and Other Do not forget to follow me on Github ✌️ GitHub https://github.com/AnjanaMadu/MentionAllBot

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