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Python in Visual Studio Code – February 2021 Release - Microsoft for Python Developers Blog
We are pleased to announce that the February 2021 release of the Python Extension for Visual Studio Code is now available. You can download the Python extension from the Marketplace, or install it directly from the extension gallery in Visual Studio Code. If you already have the Python extension installed, you can also get the latest update by restarting Visual Studio Code. You can learn more abou
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GitHubã¯2019å¹´7月2日（米国時間）ã€GitHubã§ç®¡ç†ã•ã‚Œã¦ã„るソースコードãŒã©ã®ã‚ˆã†ãªãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã§è¨˜è¿°ã•ã‚Œã¦ã„ã‚‹ã®ã‹ã‚’特定ã™ã‚‹ãƒ„ール「OctoLinguaã€ã‚’開発ã—ãŸã¨ç™ºè¡¨ã€‚åŒãƒ„ールã«é–¢ã™ã‚‹ä»Šå¾Œã®è¨ˆç”»ã‚‚明らã‹ã«ã—ãŸã€‚ GitHub上ã§æœ€ã‚‚人気ã®ã‚る上ä½ã®5言語ã¯JavaScriptã€Javaã€HTMLã€Pythonã€PHPã ãŒã€ãƒ›ã‚¹ãƒˆã—ã¦ã„るソースコードã¯300種類以上ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã«ã‚ãŸã‚‹ã¨ã„ã†ã€‚GitHubã«ã¨ã£ã¦ã€ãƒªãƒã‚¸ãƒˆãƒªã«ã‚³ãƒ¼ãƒ‰ãŒãƒ—ッシュã•ã‚ŒãŸéš›ã«ãã®ç¨®é¡žã‚’èªè˜ã™ã‚‹ã“ã¨ãŒé‡è¦ã ã¨ã„ã†ã€‚検索やセã‚ュリティ脆弱（ãœã„ã˜ã‚ƒã）性アラートã€æ§‹æ–‡ã®ãƒã‚¤ãƒ©ã‚¤ãƒˆè¡¨ç¤ºã¨ã„ã£ãŸè¦³ç‚¹ãŒã‚ã‚‹ã‹ã‚‰ã 。 ã ãŒã€Œ.hã€ã®ã‚ˆã†ã«1ã¤ã®ãƒ•ã‚¡ã‚¤ãƒ«æ‹¡å¼µåãŒè¤‡æ•°ã®ãƒ—ãƒã‚°ãƒ©ãƒŸãƒ³ã‚°è¨€èªžã§åˆ©ç”¨ã•ã‚Œã¦ã„ã‚‹å ´åˆã‚„ã€ãã®é€†ã®å ´åˆã‚‚çã—ããªã„。ã•ã‚‰ã«ã¯ãƒ—ãƒã‚°ãƒ©ãƒžãƒ¼ãŒèª¤ã£ãŸæ‹¡å¼µåを付ã‘ã‚‹å ´åˆã‚‚ã‚る。 ãªãœæ–°
C# or Java? TypeScript or JavaScript? Machine learning based classification of programming languages
AI & MLLearn about artificial intelligence and machine learning across the GitHub ecosystem and the wider industry. Generative AILearn how to build with generative AI. GitHub CopilotChange how you work with GitHub Copilot. LLMsEverything developers need to know about LLMs. Machine learningMachine learning tips, tricks, and best practices. How AI code generation worksExplore the capabilities and be
Introducing TensorFlow Graphics: Computer Graphics Meets Deep Learning
https://blog.tensorflow.org/2019/05/introducing-tensorflow-graphics_9.html https://blogger.googleusercontent.com/img/b/R29vZ2xl/AVvXsEiLtbFBddaXSQ9x-oBlhU_mUrk7nd9XpEr0bWXFRiE9lNjdeGKKf6Zl5DKbqn7eiaY032Wmck2JDliqalyJx_f43Y-4Mspjkz3X7eBze1o7NhSnsyDRvEIpHli9oqEFBuJshVeRt7cEmW02/s1600/tf+graphics.jpeg May 09, 2019 — Posted by Julien Valentin and Sofien Bouaziz Github repository: https://github.com/te
Perfume ã¨ãƒ©ã‚¤ã‚¾ãƒžãƒ†ã‚£ã‚¯ã‚¹ã®æ–°ãŸãªè©¦ã¿ã‚’支ãˆã‚‹ Google ã®æ©Ÿæ¢°å¦ç¿’ | Google Cloud å…¬å¼ãƒ–ãƒã‚°
3 月 20ã€21 日㫠NHK ホールã§é–‹å‚¬ã•ã‚ŒãŸ Perfume ã®ãƒ©ã‚¤ãƒ– ステージ「Reframeã€ã€‚ã“ã®ã‚¹ãƒ†ãƒ¼ã‚¸ã¯ã€NHK ãŒæ±äº¬ã‚ªãƒªãƒ³ãƒ”ック・パラリンピックã«å‘ã‘ã¦æ–‡åŒ–é¢ã«ãŠã„ã¦ã‚‚æ©Ÿé‹ã‚’高ã‚ã¦ã„ãイベント「This is NIPPON プレミアムシアターã€ã®ä¸€ç’°ã¨ã—ã¦é–‹å‚¬ã—ãŸã‚‚ã®ã§ã€NHK 㨠Perfume ãŒã“ã‚Œã¾ã§ç”Ÿã¿å‡ºã—ã¦ããŸãƒ‘フォーマンスã®æœ€æ–°ãƒ†ã‚¯ãƒŽãƒã‚¸ãƒ¼ã«ã‚ˆã‚‹ã€Œå†æ§‹ç¯‰ã€ã‚’テーマã«ã€ã‚¤ãƒ³ã‚¿ãƒ©ã‚¯ã‚·ãƒ§ãƒ³ デザインを担当ã—ãŸãƒ©ã‚¤ã‚¾ãƒžãƒ†ã‚£ã‚¯ã‚¹ã«ã‚ˆã‚‹ãƒ‰ãƒãƒ¼ãƒ³ã‚„ AR 技術をãµã‚“ã ã‚“ã«æŠ•å…¥ã—ãŸæ¼”出ãŒè©±é¡Œã¨ãªã‚Šã¾ã—ãŸã€‚ 今回ã®ã‚¤ãƒ™ãƒ³ãƒˆã§ã®ãƒ©ã‚¤ã‚¾ãƒžãƒ†ã‚£ã‚¯ã‚¹ã«ã‚ˆã‚‹æ–°ã—ã„試ã¿ã®ã²ã¨ã¤ãŒã€Google ã®æ©Ÿæ¢°å¦ç¿’技術を応用ã—ãŸã‚¹ãƒ†ãƒ¼ã‚¸æ¼”出ã§ã™ã€‚åŒç¤¾ã‚’率ã„る真é‹å¤§åº¦æ°ã¯æ¬¡ã®ã‚ˆã†ã«èª¬æ˜Žã—ã¾ã™ã€‚「Perfume ã®ãƒŸãƒ¥ãƒ¼ã‚¸ãƒƒã‚¯ãƒ“デオやæŒè©žãƒ‡ãƒ¼ã‚¿ã¨æ©Ÿæ¢°å¦ç¿’技術を用ã„ãŸæ¼”出を以å‰ã‚ˆã‚Šè€ƒãˆã¦ã„ã¾ã—ãŸãŒã€
Engadget | Technology News & Reviews
Report reveals that OpenAI's GPT-5.2 model cites GrokipediaA report from the Guardian showed GPT-5.2 citing Grokipedia for very specific and controversial topics. Google says it's working to fix Gmail issue that's led to flooded inboxes and increased spam warningsGmail users have reported problems with their automatic filters that typically separate promotional emails from the main inbox. US Congr
AI Experiments: Move Mirror
This is an experiment that finds images based on your movements.Back up so your whole body is in frame. This is a one person experiment.Your matching images show up here.Finally, try making a GIF!Turn on your webcam to get started!
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å°åˆ·ã™ã‚‹ メールã§é€ã‚‹ テã‚スト HTML é›»åæ›¸ç± PDF ダウンãƒãƒ¼ãƒ‰ テã‚スト é›»åæ›¸ç± PDF クリップã—ãŸè¨˜äº‹ã‚’Myページã‹ã‚‰èªã‚€ã“ã¨ãŒã§ãã¾ã™ æ˜ ç”»ã‚„åˆ‘äº‹ãƒ‰ãƒ©ãƒžã«ç™»å ´ã™ã‚‹ã‚³ãƒ³ãƒ”ュータシステムãŒæŒã¤é‡è¦ãªæ©Ÿèƒ½ã®1ã¤ã«ã€ã¼ã‚„ã‘ãŸç”»åƒã‚’拡大ã—ã¤ã¤ã€æ¬ è½ã—ã¦ã„ã‚‹æƒ…å ±ã‚’è£œå®Œã™ã‚‹ã¨ã„ã†ã‚‚ã®ãŒã‚る。NVIDIAã¨ãƒžã‚µãƒãƒ¥ãƒ¼ã‚»ãƒƒãƒ„工科大å¦ï¼ˆMIT）ã€ãƒ˜ãƒ«ã‚·ãƒ³ã‚ã®ã‚¢ãƒ¼ãƒ«ãƒˆå¤§å¦ã®å…±åŒç ”究ã«ã‚ˆã‚Šã€ç¾å®ŸãŒãƒ•ã‚£ã‚¯ã‚·ãƒ§ãƒ³ã®ä¸–ç•Œã«å°‘ã—è¿‘ã¥ã„ãŸã€‚ 今回発表ã•ã‚ŒãŸè«–文「Noise2Noise: Learning Image Restoration without Clean Dataã€ï¼ˆNoise2Noise：ノイズã®ãªã„元データを必è¦ã¨ã—ãªã„ç”»åƒå¾©å…ƒã®ãŸã‚ã®å¦ç¿’）ã«ã‚ˆã‚‹ã¨ã€åŒè«–文内ã§è‘—者らãŒã€ŒNoise2Noiseã€ã¨å‘¼ã‚“ã§ã„るシステムã¯ã€ä½Žç…§åº¦ç’°å¢ƒä¸‹ã§ã®å†™çœŸã‚„天体写真ã€MRIç”»åƒã‹ã‚‰ãƒŽã‚¤ã‚ºã‚’除去ã—ãŸã‚Šã€å†™çœŸ
AI Can Now Fix Your Grainy Photos by Only Looking at Grainy Photos | NVIDIA Technical Blog
Researchers from NVIDIA, Aalto University, and MIT have developed a deep learning-based approach that can remove noise and artifacts from images without being trained on clean images.The AI model was trained on 50,000 images from the ImageNet validation set using NVIDIA Tesla P100 GPUs and the cuDNN-accelerated TensorFlow deep learning framework.The method has potential applications in various fie
Twitter ML Platform
Machine learning enables Twitter to drive engagement, surface content most relevant to our users, and promote healthier conversations. As part of its purpose of advancing AI for Twitter in an ethical way, Twitter Cortex is the core team responsible for facilitating machine learning endeavors within the company. With first-hand experience running machine learning models in production, Cortex seeks
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機械å¦ç¿’をモãƒã‚¤ãƒ«ã‚¢ãƒ—リã«--グーグルã€æ–°SDK「ML Kitã€ç™ºè¡¨
å°åˆ·ã™ã‚‹ メールã§é€ã‚‹ テã‚スト HTML é›»åæ›¸ç± PDF ダウンãƒãƒ¼ãƒ‰ テã‚スト é›»åæ›¸ç± PDF クリップã—ãŸè¨˜äº‹ã‚’Myページã‹ã‚‰èªã‚€ã“ã¨ãŒã§ãã¾ã™ Googleã¯ç±³å›½æ™‚é–“5月8æ—¥ã€é–‹ç™ºè€…å‘ã‘カンファレンス「Google I/Oã€ã§ã€ã€ŒML Kitã€ã‚’発表ã—ãŸã€‚ML Kitã¯ã€ãƒ¢ãƒã‚¤ãƒ«ã‚¢ãƒ—リã«æ©Ÿæ¢°å¦ç¿’（ML）を組ã¿è¾¼ã‚€ãŸã‚ã®æ–°ãŸãªSDKã 。 ML Kitã¯ã€åŒç¤¾ã®ãƒ¢ãƒã‚¤ãƒ«ã‚¢ãƒ—リ開発統åˆãƒ—ラットフォーム「Firebaseã€ä¸Šã§åˆ©ç”¨ã§ãã€ã€ŒAndroidã€å‘ã‘ã¨ã€ŒiOSã€å‘ã‘ã®åŒæ–¹ãŒç”¨æ„ã•ã‚Œã¦ã„る。ã¾ãŸML Kitã¯ã€ãƒ†ã‚ストèªè˜ã¨é¡”èªè˜ã€ãƒ©ãƒ³ãƒ‰ãƒžãƒ¼ã‚¯æ¤œå‡ºã€ãƒãƒ¼ã‚³ãƒ¼ãƒ‰ã®ã‚¹ã‚ャンã€ã‚¤ãƒ¡ãƒ¼ã‚¸ã®ãƒ©ãƒ™ãƒ«ä»˜ã‘ãªã©ã®MLã®ä¸€èˆ¬çš„ãªãƒ¦ãƒ¼ã‚¹ã‚±ãƒ¼ã‚¹ã«å¯¾ã™ã‚‹APIã‚’æä¾›ã—ã¦ã„る。ã“れらã™ã¹ã¦ã¯ã€ã€ŒGoogle Cloud Platformã€ï¼ˆGCP）ã®MLテクノãƒã‚¸ã‚’活用ã—ãŸã‚¯ãƒ©ã‚¦ãƒ‰APIã¨ã—ã¦åˆ©ç”¨å¯èƒ½ã 。
TensorFlow.js | Machine Learning for JavaScript Developers
Deploy ML on mobile, microcontrollers and other edge devices
Announcing TensorRT integration with TensorFlow 1.7- Google Developers Blog
Share Facebook Twitter LinkedIn Mail Posted by Laurence Moroney (Google) and Siddarth Sharma (NVIDIA) Today we are announcing integration of NVIDIA® TensorRTTM and TensorFlow. TensorRT is a library that optimizes deep learning models for inference and creates a runtime for deployment on GPUs in production environments. It brings a number of FP16 and INT8 optimizations to TensorFlow and automatical
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GitHub - matterport/Mask_RCNN: Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
Trending Papers - Hugging Face
GitHub - akanazawa/hmr: Project page for End-to-end Recovery of Human Shape and Pose
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GitHub - cchen156/Learning-to-See-in-the-Dark: Learning to See in the Dark. CVPR 2018
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