Python library that adds Generative AI capabilities to Pandas!
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
https://t.iss.one/CodeProgrammer🖕
PandasAI analyzes complex data frames and plot visualizations just by using natural language.
GitHub: https://github.com/sinaptik-ai/pandas-ai
https://t.iss.one/CodeProgrammer
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🔥 Trending Repository: awesome-transformer-nlp
📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
📊 Statistics:
🌟 Stars: 1.1K stars
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💻 Programming Languages: Not available
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==================================
🧠 By: https://t.iss.one/DataScienceM
📝 Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
🔗 Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
📖 Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
📊 Statistics:
🌟 Stars: 1.1K stars
👀 Watchers: 41
🍴 Forks: 131 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#nlp #natural_language_processing #awesome #transformer #neural_networks #awesome_list #llama #transfer_learning #language_model #attention_mechanism #bert #gpt_2 #xlnet #pre_trained_language_models #gpt_3 #gpt_4 #chatgpt
==================================
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🔥 Trending Repository: awesome-deeplearning-resources
📝 Description: Deep Learning and deep reinforcement learning research papers and some codes
🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
📊 Statistics:
🌟 Stars: 2.9K stars
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🍴 Forks: 666 forks
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🧠 By: https://t.iss.one/DataScienceN
📝 Description: Deep Learning and deep reinforcement learning research papers and some codes
🔗 Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
📖 Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
📊 Statistics:
🌟 Stars: 2.9K stars
👀 Watchers: 221
🍴 Forks: 666 forks
💻 Programming Languages: Not available
🏷️ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo
==================================
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🔥 Trending Repository: awesome-deep-vision
📝 Description: A curated list of deep learning resources for computer vision
🔗 Repository URL: https://github.com/kjw0612/awesome-deep-vision
📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme
📊 Statistics:
🌟 Stars: 11K stars
👀 Watchers: 1.1k
🍴 Forks: 2.8K forks
💻 Programming Languages: Not available
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==================================
🧠 By: https://t.iss.one/DataScienceN
📝 Description: A curated list of deep learning resources for computer vision
🔗 Repository URL: https://github.com/kjw0612/awesome-deep-vision
📖 Readme: https://github.com/kjw0612/awesome-deep-vision#readme
📊 Statistics:
🌟 Stars: 11K stars
👀 Watchers: 1.1k
🍴 Forks: 2.8K forks
💻 Programming Languages: Not available
🏷️ Related Topics: Not available
==================================
🧠 By: https://t.iss.one/DataScienceN
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✨ Download a Free Python Cheat Sheet ✨
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
📖 Download a free Python 3 cheat sheet PDF put together by the Real Python team.
🏷️ #Python
❤10
Get top-tier market analysis: world events meet technical trading.
I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! 👇
https://t.iss.one/+9mZure1faNRkOTE8
I'm Michael 👋. My team and I share our market insights daily on our Telegram channel. Over the past weekend, our strategies delivered up to +39% gains.
We will tell you everything on the channel, even for beginners.
Join the channel below! 👇
https://t.iss.one/+9mZure1faNRkOTE8
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Let's Learn MCP with Python - Tutorial Series
Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.
Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file
https://t.iss.one/CodeProgrammer🧠
Here's your comprehensive guide to understanding and building Model Context Protocol (MCP) Servers for Python developers through interactive learning experiences.
Repo: https://github.com/microsoft/lets-learn-mcp-python?tab=readme-ov-file
https://t.iss.one/CodeProgrammer
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🔥 $10.000 WITH LISA!
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Lisa earned $200,000 in a month, and now it’s YOUR TURN!
She’s made trading SO SIMPLE that anyone can do it.
❗️Just copy her signals every day
❗️Follow her trades step by step
❗️Earn $1,000+ in your first week – GUARANTEED!
🚨 BONUS: Lisa is giving away $10,000 to her subscribers!
Don’t miss this once-in-a-lifetime opportunity. Free access for the first 500 people only!
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230+ Power BI Interview Questions.pdf
4.3 MB
30+ Power BI Interview Questions to Land Your Job!
Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!
https://t.iss.one/CodeProgrammer 🔴
Power BI mastery is key to landing your dream job, and understanding the right interview questions can make all the difference!
https://t.iss.one/CodeProgrammer 🔴
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One of the best free courses on LLMs is the Recent Advances on Foundation Models course from the University of Waterloo, and it has 21 lectures under these five sections:
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
➡️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer🔗
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
➡️ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer
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Today we will try to launch bots again
Although there are many selfish people who have reacted in a negative way, but it's okay, I will continue.
Although there are many selfish people who have reacted in a negative way, but it's okay, I will continue.
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