Simple/limited/incomplete benchmark for scalability, speed and accuracy of machine learning libraries for classification.
https://github.com/szilard/benchm-ml
#github #opensource #worthspreading
https://github.com/szilard/benchm-ml
#github #opensource #worthspreading
GitHub
GitHub - szilard/benchm-ml: A minimal benchmark for scalability, speed and accuracy of commonly used open source implementationsβ¦
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning al...
Deep Learning Papers by task
https://github.com/sbrugman/deep-learning-papers
#deeplearning #list #github
https://github.com/sbrugman/deep-learning-papers
#deeplearning #list #github
GitHub
GitHub - sbrugman/deep-learning-papers: Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled.
Papers about deep learning ordered by task, date. Current state-of-the-art papers are labelled. - sbrugman/deep-learning-papers
Architecture for real-time scene annotation (BlitzNet)
http://thoth.inrialpes.fr/research/blitznet/
ArxiV: https://arxiv.org/abs/1708.02813
GitHub: https://github.com/dvornikita/blitznet
#ICCV #github #dl #video
http://thoth.inrialpes.fr/research/blitznet/
ArxiV: https://arxiv.org/abs/1708.02813
GitHub: https://github.com/dvornikita/blitznet
#ICCV #github #dl #video
GitHub
GitHub - dvornikita/blitznet: Deep neural network for object detection and semantic segmentation in real-time. Official code forβ¦
Deep neural network for object detection and semantic segmentation in real-time. Official code for the paper "BlitzNet: A Real-Time Deep Network for Scene Understanding" - GitHub ...
Udacity has published a github repo for the Deep Reinforcement Learning Nanodegree program
Repo: https://github.com/udacity/deep-reinforcement-learning
Nanodegree: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
#dl #udacity #mooc #course #github #rl
Repo: https://github.com/udacity/deep-reinforcement-learning
Nanodegree: https://www.udacity.com/course/deep-reinforcement-learning-nanodegree--nd893
#dl #udacity #mooc #course #github #rl
GitHub
GitHub - udacity/deep-reinforcement-learning: Repo for the Deep Reinforcement Learning Nanodegree program
Repo for the Deep Reinforcement Learning Nanodegree program - udacity/deep-reinforcement-learning
ββReproducibility tool for #Jupyter Notebooks
Link: https://mybinder.org
#DS #github #reproducibleresearch
Link: https://mybinder.org
#DS #github #reproducibleresearch
Github repo with collection of NLP articles with short description
Link: https://github.com/mihail911/nlp-library
#tldr #nlp #github #dl
Link: https://github.com/mihail911/nlp-library
#tldr #nlp #github #dl
GitHub
GitHub - mihail911/nlp-library: curated collection of papers for the nlp practitioner ππ©βπ¬
curated collection of papers for the nlp practitioner ππ©βπ¬ - mihail911/nlp-library
ββTool for restoration of pixelated images
Tool uses De Bruijn sequence to restore the original information
Github: https://github.com/beurtschipper/Depix
#pixelization #github
Tool uses De Bruijn sequence to restore the original information
Github: https://github.com/beurtschipper/Depix
#pixelization #github
π₯Everything You Always Wanted To Know About GitHub (But Were Afraid To Ask)
ClickHouse team provided extensive statistics on GitHub, including but not limited to distribution of repositories by star count, top repositories by stars, affinity list, top labels etc.
All the data is available for download with instructions for ClickHouse import
Link: https://gh.clickhouse.tech/explorer/
#GitHub #ClickHouse #Yandex #statistics #EDA #engineerketing
ClickHouse team provided extensive statistics on GitHub, including but not limited to distribution of repositories by star count, top repositories by stars, affinity list, top labels etc.
All the data is available for download with instructions for ClickHouse import
Link: https://gh.clickhouse.tech/explorer/
#GitHub #ClickHouse #Yandex #statistics #EDA #engineerketing
New Coding Assistant Tool From OpenAI and Microsoft
Github announced new tool for improving coding experience: Github's copilot, developed with Microsoft and OpenAI's help. This looks really promosing, at least from the announce perspective: imaging just typing convert_datetime_to_date and getting function for that. Looking forward to the actual demo.
Project: https://copilot.github.com
Blog entry: https://github.blog/2021-06-29-introducing-github-copilot-ai-pair-programmer/
CNBC news post: https://www.cnbc.com/2021/06/29/microsoft-github-copilot-ai-offers-coding-suggestions.html
#OpenAI #microsoft #coding #CS #computerlanguageunderstanding #CLU #Github
Github announced new tool for improving coding experience: Github's copilot, developed with Microsoft and OpenAI's help. This looks really promosing, at least from the announce perspective: imaging just typing convert_datetime_to_date and getting function for that. Looking forward to the actual demo.
Project: https://copilot.github.com
Blog entry: https://github.blog/2021-06-29-introducing-github-copilot-ai-pair-programmer/
CNBC news post: https://www.cnbc.com/2021/06/29/microsoft-github-copilot-ai-offers-coding-suggestions.html
#OpenAI #microsoft #coding #CS #computerlanguageunderstanding #CLU #Github
π¦ Hi!
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL β post about deep neural networks (> 1 layer)
#cv β posts related to Computer Vision. Pictures and videos
#nlp #nlu β Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β related to audio information processing
#ar β augmeneted reality related content
#rl β Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β related to special architectures or frameworks
#coding #CS β content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
We are the first Telegram Data Science channel.
Channel was started as a collection of notable papers, news and releases shared for the members of Open Data Science (ODS) community. Through the years of just keeping the thing going we grew to an independent online Media supporting principles of Free and Open access to the information related to Data Science.
Ultimate Posts
* Where to start learning more about Data Science. https://github.com/open-data-science/ultimate_posts/tree/master/where_to_start
* @opendatascience channel audience research. https://github.com/open-data-science/ods_channel_stats_eda
Open Data Science
ODS.ai is an international community of people anyhow related to Data Science.
Website: https://ods.ai
Hashtags
Through the years we accumulated a big collection of materials, most of them accompanied by hashtags.
#deeplearning #DL β post about deep neural networks (> 1 layer)
#cv β posts related to Computer Vision. Pictures and videos
#nlp #nlu β Natural Language Processing and Natural Language Understanding. Texts and sequences
#audiolearning #speechrecognition β related to audio information processing
#ar β augmeneted reality related content
#rl β Reinforcement Learning (agents, bots and neural networks capable of playing games)
#gan #generation #generatinveart #neuralart β about neural artt and image generation
#transformer #vqgan #vae #bert #clip #StyleGAN2 #Unet #resnet #keras #Pytorch #GPT3 #GPT2 β related to special architectures or frameworks
#coding #CS β content related to software engineering sphere
#OpenAI #microsoft #Github #DeepMind #Yandex #Google #Facebook #huggingface β hashtags related to certain companies
#productionml #sota #recommendation #embeddings #selfdriving #dataset #opensource #analytics #statistics #attention #machine #translation #visualization
Chats
- Data Science Chat https://t.me/datascience_chat
- ODS Slack through invite form at website
ODS resources
* Main website: https://ods.ai
* ODS Community Telegram Channel (in Russian): @ods_ru
* ML trainings Telegram Channel: @mltrainings
* ODS Community Twitter: https://twitter.com/ods_ai
Feedback and Contacts
You are welcome to reach administration through telegram bot: @opendatasciencebot
GitHub
ultimate_posts/where_to_start at master Β· open-data-science/ultimate_posts
Ultimate posts for opendatascience telegram channel - open-data-science/ultimate_posts