A reading-focused foreign language learning aid orientated towards young children

Langy Langy is a reading-focused foreign language learning aid orientated towards young children. Reading is an activity that every child knows. It is a necessary skill that is learned at school and at home, not only building on a child’s linguistic capability, but also their cognitive and social skills. Langy aims to enable children to learn vocabulary in a new language in a manner that feels familiar to them. The platform allows users to read a variety of children’s books, […]

May 3, 2021 Graph

Using Python and Processing to create art

May 3, 2021 Plot

A Cross-Platform Plot Manager for Chia Plotting

Swar’s Chia Plot Manager This is a Cross-Platform Plot Manager for Chia Plotting that is simple, easy-to-use, and reliable. Features Stagger your plots so that your computer resources can avoid high peaks. Allow for a list of destination directories. Utilize temporary space to its maximum potential by starting a new plot early. Run a maximum number of plots concurrently to avoid bottlenecks or limit resource hogging. More in-depth active plot screen. Installation The installation of this library is straightforward. I […]

May 3, 2021 Python

Python News: What’s New From April 2021?

If you hang around Python developers long enough, you’ll eventually hear someone talk about how awesome the Python community is. If you want to get up to speed on what happened in the Python community in April 2021, then you’ve come to the right place to get your news! From better error messages that improve user experience to community-driven efforts to delay a change to CPython, April 2021 was a month full of stories that reminded us that Python is […]

May 3, 2021 NLP

How to Prevent Machine Learning Models from Failing in Practice?

Have you seen machine learning solutions fall flat in practice? Well, I have. Several times. I get occasional panic calls from teams about their 98% accurate models generating questionable predictions once released to actual users. Did they build a bad model? Maybe. But the real issue is that the majority of these teams skipped a step. And that step is testing. Not just any type of testing, but post-development testing (PDT). What is Post-Development Testing (PDT)? Post-development testing in the context of machine learning is an experimentation period […]

May 2, 2021 Neural Machine Translation (NMT), NMT Leave a comment

Machine Translation Weekly 77: Reference-free Evaluation

This week, I am will comment on a paper by authors from the University of Maryland and Google Research on reference-free evaluation of machine translation, which seems quite disturbing to me and suggests there is a lot about current MT models we still don’t quite understand. The title of the paper is “Assessing Reference-Free Peer Evaluation for Machine Translation” and it will be published at this year’s NAACL conference. The standard evaluation of machine translation uses reference translations: translations that […]

May 1, 2021 Machine Learning

A pytorch reprelication of the model-based reinforcement learning algorithm MBPO

mbpo_pytorch This is a re-implementation of the model-based RL algorithm MBPO in pytorch as described in the following paper: When to Trust Your Model: Model-Based Policy Optimization. This code is based on a previous paper in the NeurIPS reproducibility challenge that reproduces the result with a tensorflow ensemble model but shows a significant drop in performance with a pytorch ensemble model. This code re-implements the ensemble dynamics model with pytorch and closes the gap. Reproduced results The comparison are done […]

May 1, 2021 Text

Text Classification in Turkish Texts with Bert

Text_and_Audio_classification_with_Bert Text Classification in Turkish Texts with Bert. Project Interface Goal= Correctly guessing the classification of texts and audios BERT_Text_Classification It is a text classification task implementation transformers (by HuggingFace) with BERT. It contains several parts: –Data pre-processing –BERT tokenization and input formating –Train with BERT –Evaluation –Save and load saved model Text-classification-transformers Text classification tasks are most easily encountered in the area of natural language processing and can be used in various ways. However, the given data needs to […]

May 1, 2021 Machine Learning

A reinforcement library designed for pytorch

machin Machin is a reinforcement library designed for pytorch. Reinforcement learning library(framework) designed for PyTorch, implements DQN, DDPG, A2C, PPO, SAC, MADDPG, A3C, APEX, IMPALA … Features 1. Automatic Starting from version 0.4.0, Machin now supports automatic config generation, you can get a configurationthrough: python -m machin.auto generate –algo DQN –env openai_gym –output config.json And automatically launch the experiment with pytorch lightning: python -m machin.auto launch –config config.json 2. Readable Compared to other reinforcement learning libraries such as the famous […]

May 1, 2021 Images

A Python library for processing images of image-based spatial transcriptomics

starfish starfish: scalable pipelines for image-based transcriptomics starfish is a Python library for processing images of image-based spatial transcriptomics. It lets you build scalable pipelines that localize and quantify RNA transcripts in image data generated by any FISH method, from simple RNA single-molecule FISH to combinatorial barcoded assays. If you want to give it a try, the quick start tutorial will guide you from installation to running a pipeline in under 10 minutes. For more comprehensive instructions on how to […]

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