PyTorch - Tweet Data Analysis
Tweets Analysis - Keyword: @PyTorch
Veröffentlicht am 8. April 2023
Übersicht
Tweets covering
10 days
Latest tweet was on
2023-02-22
Earliest tweet was on
2023-02-12
Total number of tweets analysed
161
Average age of authors' accounts
8 years
Zusammenfassung
The tweets cover various topics related to deep learning and the use of PyTorch. These include techniques for training neural nets, inferencing with YOLOv8, upgrading hardware to GPU instances, model compression, optimization for PyTorch on Intel CPUs and GPUs, and using PyTorch for reinforcement learning and computer vision solutions. There are also some personal anecdotes and mentions of third-party libraries and tools.
Themenmodellierung
- Neural networks and training in PyTorch
- Hardware upgrades for better computing power
- Model compression for faster inference
- Reinforcement learning with TorchRL
- Language models and pretraining techniques
- Using PyTorch for computer vision in manufacturing
- Jax and Flax library for executing PyTorch modules
- On-device AI and personal experiences with Meta
- PyTorch optimization for Intel CPUs and GPUs
- Issues with CUDA and scaling in ML engineering
- Switching from TensorFlow to PyTorch
Emotionsanalyse
The tweets express a variety of emotions related to using and discussing PyTorch, a deep learning framework. Some tweets express excitement and enthusiasm about the capabilities of PyTorch, such as the ease of implementing early stopping and upgrading hardware to a GPU instance. Other tweets express frustration with technical issues or the complexity of using PyTorch, such as facing weird CUDA issues or needing to learn PyTorch for a workshop. Overall, the emotional tone of the tweets is positive and focused on the potential of PyTorch for deep learning.
Trendanalyse
- Use of PyTorch for deep learning
- Hardware optimization and performance enhancement for PyTorch
- Application of PyTorch in various industries and fields, such as manufacturing and personal devices
- Different techniques and libraries for improving language models using PyTorch
- Potential issues and challenges faced when using PyTorch and other deep learning tools
Haftungsausschluss: Die Textanalyse auf twtdata.com, unterstützt durch OpenAI, stellt nicht die Ansichten von twtdata.com oder seinen verbundenen Unternehmen dar. Die Analyse dient nur zu Informationszwecken und ist keine Bestätigung einer Meinung.
Tweet-Arten
Number of Retweets
52
32% vom Gesamten
Number of Original tweets
27
16% vom Gesamten
Number of tweets that were Quotes
13
8% vom Gesamten
Number of tweets that were Replies
81
50% vom Gesamten
Number of tweets that contain Hashtags
23
14% vom Gesamten
Number of tweets that contain Mentions
161
100% vom Gesamten
Verwendete Geräte zum Tweeten
Top 5 Geräte
| Source | Count |
|---|---|
| Twitter Web App | 77 |
| Twitter for iPhone | 40 |
| Twitter for Android | 32 |
| Twitter for iPad | 3 |
| mem.ai | 3 |
Geräteverteilung
Top 10 Konten nach Followern
| Username | Name | Bio | Followers count |
|---|---|---|---|
| MetaforDevs | Meta for Developers | Follow us for updates on Meta's business tools, AI, AR, VR, and more. | 267.725 |
| rasbt | Sebastian Raschka | Machine learning & AI researcher. I love coding & sharing my knowledge. 📖 https://t.co/NMMcCatFbC ⚡️ Lead AI Edu @LightningAI 🎓 Ex Stats Prof @ UW | 159.389 |
| MetaOpenSource | Meta Open Source | Empowering diverse community through open source technology. | 152.198 |
| seeedstudio | Seeed Studio | The #IoT Hardware Partner for your digital transformation goals. https://t.co/FWiqlnJpMp #ML #OpenManufacture #TinyML #EdgeComputing #SmartSensor #Web3 | 64.146 |
| alfcnz | Alfredo Canziani | Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University | 49.802 |
| memdotai | Mem | Your self-organizing workspace.Get Mem It for Twitter: https://t.co/PXu0Fqq8k1…Website: https://t.co/XSDVK00mbv Community: https://t.co/arZa1ml8IS | 40.326 |
| Eli_Krumova | Elitsa Krumova | |#Digital 🦄 Nomad| |#WomeninTech| #Influencer @Onalytica | @WomenTechmakers |#Tech #IoT #IIoT #AI #ML #RPA #Robotics #CyberSec #IoTPL |#SocialMedia #Marketing| | 33.839 |
| IntelDevTools | Software Dev Tools | @Intel’s hub for all things #oneAPI — an open-source model for #developers looking to accelerate and optimize heterogeneous workloads across architectures. | 22.414 |
| HamelHusain | Hamel Husain | Building something new 👉 https://t.co/y74Xw1sYid 👈 Ex @Github, @Airbnb, @DataRobot. ML / Data Tooling & OSS | 13.721 |
| julsimon | Julien Simon 🇺🇦 | Chief Evangelist @huggingface. Ex @awscloud @criteo. Author of "Learn Amazon SageMaker" https://t.co/4ItvJJldtj #FreeAssange #Snowden | 10.014 |
Top 10 Konten nach Following
| Username | Name | Bio | Followers count |
|---|---|---|---|
| Eli_Krumova | Elitsa Krumova | |#Digital 🦄 Nomad| |#WomeninTech| #Influencer @Onalytica | @WomenTechmakers |#Tech #IoT #IIoT #AI #ML #RPA #Robotics #CyberSec #IoTPL |#SocialMedia #Marketing| | 24.734 |
| NW52231773 | NW | @SportsCenter @MLBNetwork @nflnetwork | 5.007 |
| ayirpelle | priya joseph | geek, entrepreneur, 'I strictly color outside the lines!', opinions r my own indeed. @ayirpelle , universal handle at this time | 5.003 |
| DigPhysics | Digital Physics Film & Game 🎞️ 🕹️ | 🕹️⌨️ A video game: https://t.co/OFmIsUxZ9y 🎞️✨A film: https://t.co/MNu9xz8oxA 🙏🧠👾☯️❤️🤖🛸✨ | 5.000 |
| rnaveentnj | RS Naveen | CS Engineer to Innovator . Love for nature, coding and Technologies . Learning never ends . Love to read books 📚 . Learn Unlearn Relearn 🔁 தமிழன் தமிழ் ❤️ | 4.371 |
| alzapress | Al VA | #DataScience #agile #tech, fostering #edtech for positive social impact without borders: #va, #Cloud, #AI, #inv, #Marketing, #investments, #fintech and more. | 3.759 |
| le_james94 | James Le | DevRel 💬🤝 Podcast @ https://t.co/pKygoPYwsx🎤 Write @ https://t.co/yPKthVo0Vw📝 Read @ https://t.co/fT3YsMZi4E📚 | 3.529 |
| rajko_rad | Rajko Radovanović | Data, infra & OSS; Support great teams @NEA | Ex @BCG | @Harvard Ec/CS; Enjoy most things outdoors, care about democracy in 🇷🇸🇭🇷🇸🇮🇧🇦🇲🇪 | 3.397 |
| kuronekodaisuki | まお（松岡洋） | 技術コンサルタント、テクニカルライター。武術歴25年。たまにねとらぼやCQ出版社のInterfaceやトランジスタ技術に寄稿しています。 | 2.426 |
| dataframing | danny | suggesting what you should watch on @hulu. amateur rustacean 🦀, disappointing judoka 🥋 he/him/his | 2.407 |
Aktivste Nutzer
| Username | Bio | Number of tweets |
|---|---|---|
| guptam108 | For my part, I will never give up, and I mean never🚵♂️ No affiliation with any political party. Likes/ RT’s/ Views’s are personal✍️ | 11 |
| alfcnz | Musician, math lover, cook, dancer, 🏳️🌈, and an ass prof of Computer Science at New York University | 10 |
| rasbt | Machine learning & AI researcher. I love coding & sharing my knowledge. 📖 https://t.co/NMMcCatFbC ⚡️ Lead AI Edu @LightningAI 🎓 Ex Stats Prof @ UW | 7 |
| NeuroTaha | Machine Learning Engineer @novuswriter 💻| Technical Writer @TDataScience 📚| CS👾| Tweets in EN/TR | 4 |
| capetorch | Chilean 🇨🇱 living in France. I build DL models and pipelines. Contributor to fastai and pytorch. ML Engineer at @weights_biasescargobike ♥🚴 | 4 |
| IntelDevTools | @Intel’s hub for all things #oneAPI — an open-source model for #developers looking to accelerate and optimize heterogeneous workloads across architectures. | 4 |
| haloapping | saya suka kamu, tapi kamu gak suka sama aku main languange: python and golang, yg lain skip dulu! | 4 |
| vgoklani_api | Twitter Nerd... Interested in Deep Learning (self-supervised learning & LLMs), Astrophysics (exoplanets), and Cosmology (CMB).... I like to build things | 3 |
| memdotai | Your self-organizing workspace.Get Mem It for Twitter: https://t.co/PXu0Fqq8k1…Website: https://t.co/XSDVK00mbv Community: https://t.co/arZa1ml8IS | 3 |
| addono_vi | Statistician & entrepreneur. MSc Statistics @KU_Leuven & @usponline alumnus. #sports #economics #SPFC #ML #stats | 2 |
Tweets pro Tag
Top 10 Tweets nach Retweets
| ID | Text | Retweet count |
|---|---|---|
| 1628077872953929751 | The third and last video of the «Classification, an Energy Perspective» saga covers neural net 5-step training code in @PyTorch, gradient accumulation justification, reprodution of energy surface for different model, … | 51 |
| 1626243925714280448 | And I'd argue it's always a good idea to consider adopting early stopping by default. If you are using @PyTorch, that's super easy to implement, so no excuses 😊 https://t.co/O6po1P05XK … | 10 |
| 1625527285959823361 | With the Intel Neural Compressor—part of the AI Analytics Toolkit—developers can perform model compression to reduce size and increase the speed of deep learning inference for deployment on CPUs or … | 6 |
| 1625981528164409344 | Get a look at the Intel Optimization for @PyTorch on the latest #IntelXeon processors with @huggingface transformers on @awscloud. #oneAPI https://t.co/TiCr4Rl1jD | 5 |
| 1627919232607391748 | How about inferencing @ultralytics YOLOv8 at the edge? #reComputer J4012 easily handle at 53FPS using @PyTorch inference on COCO dataset (480x640). By utilizing #TensorRT, the performance will be boosted with … | 5 |
| 1627722254988476431 | In this article, Eduardo Alvarez (@eduand_alvarez) demonstrates how to use the Visual Quality Inspection #AI reference kit to build computer vision solutions for the manufacturing industry. https://t.co/lmd3PGXuhh #oneAPI #Python #datascience … | 2 |
| 1627709396963688455 | Want to learn about pretraining techniques for language models? Check out this article for a comprehensive overview and step-by-step instructions using @PyTorch (soon), @LightningAI (soon), and @huggingface Transformers (soon). #NLP … | 2 |
| 1625543021973450752 | Running AI on-device—directly on a phone, tablet, or wearable—is faster and creates a more private experience for people on our platforms. Learn how Meta is using @PyTorch to bring more … | 2 |
| 1628088415483723796 | Get top performance from @PyTorch 1.13 on Intel CPUs & GPUs with the Intel Optimization for PyTorch—part of the #AI Analytics Toolkit 2023.1 release. Add a couple lines of code … | 2 |
| 1628161404468428800 | @Cons19119439 @PyTorch A little too much 😅😅😅 | 1 |
Top 10 Tweets nach Likes
| ID | Text | Like count |
|---|---|---|
| 1628077872953929751 | The third and last video of the «Classification, an Energy Perspective» saga covers neural net 5-step training code in @PyTorch, gradient accumulation justification, reprodution of energy surface for different model, … | 284 |
| 1626243925714280448 | And I'd argue it's always a good idea to consider adopting early stopping by default. If you are using @PyTorch, that's super easy to implement, so no excuses 😊 https://t.co/O6po1P05XK … | 132 |
| 1627919232607391748 | How about inferencing @ultralytics YOLOv8 at the edge? #reComputer J4012 easily handle at 53FPS using @PyTorch inference on COCO dataset (480x640). By utilizing #TensorRT, the performance will be boosted with … | 19 |
| 1625616023477952540 | Need more compute power? You can upgrade your Space's hardware to a GPU instance easily in the settings tab. The templates will work on both CPU and GPU hardware, making … | 12 |
| 1625527285959823361 | With the Intel Neural Compressor—part of the AI Analytics Toolkit—developers can perform model compression to reduce size and increase the speed of deep learning inference for deployment on CPUs or … | 12 |
| 1625981528164409344 | Get a look at the Intel Optimization for @PyTorch on the latest #IntelXeon processors with @huggingface transformers on @awscloud. #oneAPI https://t.co/TiCr4Rl1jD | 11 |
| 1627795950063489024 | Over the weekend I wrote a small library that allows executing @PyTorch Modules inside Jax and Flax. Details in 🧵 https://t.co/SbMEu1mkmp | 11 |
| 1625543021973450752 | Running AI on-device—directly on a phone, tablet, or wearable—is faster and creates a more private experience for people on our platforms. Learn how Meta is using @PyTorch to bring more … | 10 |
| 1625542384476995591 | Join @VincentMoens for a live Q&A on TorchRL, hosted by Developer Advocate @shshnkp. You'll learn about the new Reinforcement Learning library for @PyTorch and how @torchrl1 can be used to … | 9 |
| 1627709396963688455 | Want to learn about pretraining techniques for language models? Check out this article for a comprehensive overview and step-by-step instructions using @PyTorch (soon), @LightningAI (soon), and @huggingface Transformers (soon). #NLP … | 8 |
Top verwendete Sprachen
Top 10 Hashtags
| Hashtag | Count |
|---|---|
| #ai | 9 |
| #deeplearning | 9 |
| #oneapi | 7 |
| #python | 6 |
| #pytorch | 6 |
| #datascience | 4 |
| #dl | 4 |
| #recomputer | 2 |
| #tensorrt | 2 |
| #nlp | 2 |
Top 10 Erwaenungen
| Mention | Count |
|---|---|
| @pytorch | 160 |
| @rasbt | 18 |
| @alfcnz | 17 |
| @huggingface | 14 |
| @lightningai | 10 |
| @adobe | 9 |
| @tensorflow | 9 |
| @apple | 8 |
| @googlechrome | 7 |
| @inteldevtools | 6 |
Wortwolke der Tweets
Emoji-Analyse
Durchschnittliche Emojis pro Tweet:
58
Verwendete Emojis
| Emoji | Count | Emoji Text |
|---|---|---|
| 😅 | 8 | grinning_face_with_sweat |
| 😊 | 6 | smiling_face_with_smiling_eyes |
| 🧠 | 6 | brain |
| 🥳 | 6 | partying_face |
| ❤️ | 5 | red_heart |
| 🔸 | 4 | small_orange_diamond |
| 🤓 | 3 | nerd_face |
| 😬 | 3 | grimacing_face |
| 🗓️ | 3 | spiral_calendar |
| ⏰ | 3 | alarm_clock |
Emoji-Gruppen
| Emoji Group | Count |
|---|---|
| Smileys & Emotion | 40 |
| Objects | 14 |
| Symbols | 13 |
| People & Body | 11 |
| Travel & Places | 8 |
| Activities | 5 |
| Animals & Nature | 2 |
| Food & Drink | 1 |
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