Стартовал чемпионат по программированию искусственного интеллекта на примере игровых стратегий - Mini Ai Cup 4. В рамках контеста участникам предлагается сразиться в модернизированной версии Paper.io.
Сегодня организаторы объявили о продлении бета-тестирования до вторника. Подробная информация о правилах, расписании чемпионата и призах уже доступна на портале - https://aicups.ru/.
Регистрируйтесь и добавляйтесь в чат соревнования (@aicups), чтобы быть в курсе всех новостей.
Сегодня организаторы объявили о продлении бета-тестирования до вторника. Подробная информация о правилах, расписании чемпионата и призах уже доступна на портале - https://aicups.ru/.
Регистрируйтесь и добавляйтесь в чат соревнования (@aicups), чтобы быть в курсе всех новостей.
Listening to the neural network gradient norms during training
http://blog.christianperone.com/2019/08/listening-to-the-neural-network-gradient-norms-during-training/
http://blog.christianperone.com/2019/08/listening-to-the-neural-network-gradient-norms-during-training/
Christianperone
Listening to the neural network gradient norms during training | Terra Incognita
Training neural networks is often done by measuring many different metrics such as accuracy, loss, gradients, etc. This is most of the time done aggregating these metrics and plotting visualizations on TensorBoard. There are, however, other senses that we…
Building a semantic search engine using open-source components
https://blog.onebar.io/building-a-semantic-search-engine-using-open-source-components-e15af5ed7885
https://blog.onebar.io/building-a-semantic-search-engine-using-open-source-components-e15af5ed7885
Medium
How we used Universal Sentence Encoder and FAISS to make our search 10x smarter
Learn how to build something smarter than ElasticSearch using a few open-source libraries and a pre-trained Univesal Sentence Encoder…
Baidu’s Optimized ERNIE Achieves State-of-the-Art Results in Natural Language Processing Tasks
http://research.baidu.com/Blog/index-view?id=121
http://research.baidu.com/Blog/index-view?id=121
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles | Artificial Intelligence (AI) Podcast
https://youtu.be/iwcYp-XT7UI
https://youtu.be/iwcYp-XT7UI
YouTube
George Hotz: Comma.ai, OpenPilot, and Autonomous Vehicles | Lex Fridman Podcast #31
Fitting (almost) any PyTorch module with just one line, including easy BERT fine-tuning
https://github.com/hiredscorelabs/tamnun-ml
https://github.com/hiredscorelabs/tamnun-ml
GitHub
GitHub - hiredscorelabs/tamnun-ml: An easy to use open-source library for advanced Deep Learning and Natural Language Processing
An easy to use open-source library for advanced Deep Learning and Natural Language Processing - GitHub - hiredscorelabs/tamnun-ml: An easy to use open-source library for advanced Deep Learning and ...
Word-to-Number на русском
https://github.com/SergeyShk/Word-to-Number-Russian
https://github.com/SergeyShk/Word-to-Number-Russian
GitHub
GitHub - SergeyShk/Word-to-Number-Russian: Проект для перевода чисел, записанных в текстовом виде на русском языке.
Проект для перевода чисел, записанных в текстовом виде на русском языке. - SergeyShk/Word-to-Number-Russian
Knowledge Graphs in Natural Language Processing @ ACL 2019
https://medium.com/@mgalkin/knowledge-graphs-in-natural-language-processing-acl-2019-7a14eb20fce8
https://medium.com/@mgalkin/knowledge-graphs-in-natural-language-processing-acl-2019-7a14eb20fce8
Medium
Knowledge Graphs in Natural Language Processing @ ACL 2019
Hello, ACL 2019 has just finished and I attended the whole week of the conference talks, tutorials, and workshops in beautiful Florence…
Awesome list for dataset tools
https://github.com/jsbroks/awesome-dataset-tools
https://github.com/jsbroks/awesome-dataset-tools
GitHub
GitHub - jsbroks/awesome-dataset-tools: 🔧 A curated list of awesome dataset tools
🔧 A curated list of awesome dataset tools. Contribute to jsbroks/awesome-dataset-tools development by creating an account on GitHub.
Make Delegation Work in Python
https://www.fast.ai/2019/08/06/delegation/
https://www.fast.ai/2019/08/06/delegation/
A Discussion of Adversarial Examples Are Not Bugs, They Are Features
https://distill.pub/2019/advex-bugs-discussion/
https://distill.pub/2019/advex-bugs-discussion/
Distill
A Discussion of 'Adversarial Examples Are Not Bugs, They Are Features'
Six comments from the community and responses from the original authors
Guide on implementing CycleGAN models from scratch:
https://machinelearningmastery.com/how-to-develop-cyclegan-models-from-scratch-with-keras/
https://machinelearningmastery.com/how-to-develop-cyclegan-models-from-scratch-with-keras/
MachineLearningMastery.com
How to Implement CycleGAN Models From Scratch With Keras - MachineLearningMastery.com
The Cycle Generative adversarial Network, or CycleGAN for short, is a generator model for converting images from one domain to another domain. For example, the model can be used to translate images of horses to images of zebras, or photographs of city landscapes…
Cool post from author of bert-as-a-service that highlights the increasing focus on pretrained models and end-to-end applications. It also describes a generic IR system that can scale to an arbitrary number of encoders.
https://hanxiao.github.io/2019/07/29/Generic-Neural-Elastic-Search-From-bert-as-service-and-Go-Way-Beyond/
https://hanxiao.github.io/2019/07/29/Generic-Neural-Elastic-Search-From-bert-as-service-and-Go-Way-Beyond/
hanxiao.io
Generic Neural Elastic Search: From bert-as-service and Go Way Beyond · Han Xiao Tech Blog - Neural Search & AI Engineering
Since Jan. 2019, I have started leading a team at Tencent AI Lab and working on a new system GNES (Generic Neural Elastic Search). GNES is an open-sou ... · Han Xiao
Training a Neural Network? Start here!
https://lavanya.ai/2019/08/10/training-a-neural-network-start-here/
https://lavanya.ai/2019/08/10/training-a-neural-network-start-here/
Lavanya.ai
Training a Neural Network? Start here!
Training neural networks can be very confusing! What’s a good learning rate? How many hidden layers should your network have? Is dropout actually useful? Why are your gradients vanishing? In this p…
The Illustrated GPT-2 (Visualizing Transformer Language Models)
https://jalammar.github.io/illustrated-gpt2/
https://jalammar.github.io/illustrated-gpt2/
jalammar.github.io
The Illustrated GPT-2 (Visualizing Transformer Language Models)
Discussions:
Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments)
Translations: Simplified Chinese, French, Korean, Russian, Turkish
This year, we saw a dazzling application of machine learning. The OpenAI GPT…
Hacker News (64 points, 3 comments), Reddit r/MachineLearning (219 points, 18 comments)
Translations: Simplified Chinese, French, Korean, Russian, Turkish
This year, we saw a dazzling application of machine learning. The OpenAI GPT…
Collection of carefully-designed experiments that investigate core capabilities of RL agents
https://github.com/deepmind/bsuite
https://github.com/deepmind/bsuite
GitHub
GitHub - google-deepmind/bsuite: bsuite is a collection of carefully-designed experiments that investigate core capabilities of…
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent - google-deepmind/bsuite
New advances in natural language processing to better connect people
https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people/
https://ai.facebook.com/blog/new-advances-in-natural-language-processing-to-better-connect-people/
Facebook
New advances in natural language processing to better connect people
Recently, Facebook AI has advanced state-of-the-art results in key language understanding tasks and also launched a new benchmark to push AI systems further
New State of the Art AI Optimizer: Rectified Adam (RAdam). Improve your AI accuracy instantly versus Adam, and why it works.
https://medium.com/@lessw/new-state-of-the-art-ai-optimizer-rectified-adam-radam-5d854730807b
https://medium.com/@lessw/new-state-of-the-art-ai-optimizer-rectified-adam-radam-5d854730807b
Medium
New State of the Art AI Optimizer: Rectified Adam (RAdam). Improve your AI accuracy instantly versus Adam, and why it works.
A new paper by Liu, Jian, He et al introduces RAdam, or “Rectified Adam”. It’s a new variation of the classic Adam optimizer that provides…