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π₯ Trending Repository: awesome-transformer-nlp
π Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
π Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
π Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 41
π΄ Forks: 131 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceM
π Description: A curated list of NLP resources focused on Transformer networks, attention mechanism, GPT, BERT, ChatGPT, LLMs, and transfer learning.
π Repository URL: https://github.com/cedrickchee/awesome-transformer-nlp
π Readme: https://github.com/cedrickchee/awesome-transformer-nlp#readme
π Statistics:
π Stars: 1.1K stars
π Watchers: 41
π΄ Forks: 131 forks
π» Programming Languages: Not available
π·οΈ 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
==================================
π§ By: https://t.iss.one/DataScienceM
β€2π₯1π―1
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π₯ Trending Repository: awesome-deeplearning-resources
π Description: Deep Learning and deep reinforcement learning research papers and some codes
π Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
π Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
π Statistics:
π Stars: 2.9K stars
π Watchers: 221
π΄ Forks: 666 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
==================================
π§ By: https://t.iss.one/DataScienceN
π Description: Deep Learning and deep reinforcement learning research papers and some codes
π Repository URL: https://github.com/endymecy/awesome-deeplearning-resources
π Readme: https://github.com/endymecy/awesome-deeplearning-resources#readme
π Statistics:
π Stars: 2.9K stars
π Watchers: 221
π΄ Forks: 666 forks
π» Programming Languages: Not available
π·οΈ Related Topics:
#nlp #video #reinforcement_learning #deep_learning #neural_network #code #paper #corpus #modelzoo
==================================
π§ By: https://t.iss.one/DataScienceN
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π₯ Trending Repository: awesome-deep-vision
π Description: A curated list of deep learning resources for computer vision
π Repository URL: https://github.com/kjw0612/awesome-deep-vision
π Readme: https://github.com/kjw0612/awesome-deep-vision#readme
π Statistics:
π Stars: 11K stars
π Watchers: 1.1k
π΄ Forks: 2.8K forks
π» Programming Languages: Not available
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceN
π Description: A curated list of deep learning resources for computer vision
π Repository URL: https://github.com/kjw0612/awesome-deep-vision
π Readme: https://github.com/kjw0612/awesome-deep-vision#readme
π Statistics:
π Stars: 11K stars
π Watchers: 1.1k
π΄ Forks: 2.8K forks
π» Programming Languages: Not available
π·οΈ Related Topics: Not available
==================================
π§ By: https://t.iss.one/DataScienceN
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β¨ Download a Free Python Cheat Sheet β¨
π Download a free Python 3 cheat sheet PDF put together by the Real Python team.
π·οΈ #Python
π Download a free Python 3 cheat sheet PDF put together by the Real Python team.
π·οΈ #Python
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I'm Michael π. 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.
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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/CodeProgrammerπ§
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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https://t.iss.one/CodeProgrammer π΄
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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
β‘οΈ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammerπ
1. Introduction to Foundation Models
2. Transformer Architecture
3. Large Language Models
4. (Large) Multimodal Models
5. Augmenting Foundation Models
β‘οΈ Course link: https://cs.uwaterloo.ca/~wenhuche/teaching/cs886/
https://t.iss.one/CodeProgrammer
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π How to Create a Real-Time Gesture-to-Text Translator Using Python and Mediapipe
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This GitHub repo is a gold mine for EVERY data scientist!
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DS Interactive Python repo has interactive dashboards to learn statistics, ML models, and other DS concepts.
Topics include PCA, bagging & boosting, clustering, neural networks, etc.
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https://github.com/GeostatsGuy/DataScienceInteractivePython
https://t.iss.one/CodeProgrammer π
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Eye control with Python
EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.
The JavaScript version allows running everything directly in the browser.
Installation:
or
Open source code, documentation, and usage examples - click
π https://t.iss.one/DataScienceN
EyeGestures is an open-source Python library for gaze tracking. It uses regular cameras, webcams, or smartphone cameras to track eye movement, fixations, and blinks, and convert these into events such as cursor control by eye movement.
The JavaScript version allows running everything directly in the browser.
Installation:
$ git clone https://github.com/NativeSensors/EyeGestures.git
$ cd EyeGestures
$ pip install -r requirements.txt
or
python3 -m pip install eyeGestures
Open source code, documentation, and usage examples - click
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