👨🏻💻 In the latest data science report 2024 , Python is still the top programming language for data science with 56.7% . Here I have put a list of the best Python repositories for data science , which will improve your coding skills and guide you on the path to data science mastery.
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In 1989, Yann LeCun and his team trained a LeNet 1 CNN, which was able to detect handwriting.
They published a video showing how this model can read the numbers that were written manually on a piece of paper, and then the model gives the numbers electronically.
The Convolution Neural Network CNN algorithm is considered one of the algorithms that has influenced the world and we find it nowadays in many fields.
In general, everything that can be predicted from an image or video is a CNN.
Many researchers relied on this algorithm and derived many of the most famous models from it (ResNet, DenseNet, MobileNet, SqueezeNet, VGG)
There are many models that come under the name CNN
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😠 More likes 💦 ➡️ more posts
✈️ http://www.tgoop.com/codeprogrammer ✅
They published a video showing how this model can read the numbers that were written manually on a piece of paper, and then the model gives the numbers electronically.
The Convolution Neural Network CNN algorithm is considered one of the algorithms that has influenced the world and we find it nowadays in many fields.
In general, everything that can be predicted from an image or video is a CNN.
Many researchers relied on this algorithm and derived many of the most famous models from it (ResNet, DenseNet, MobileNet, SqueezeNet, VGG)
There are many models that come under the name CNN
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A curated list of articles, models, api, code examples, courses, datasets dedicated to large language models.
This is a well- structured academic selection.
• Github
Other highly specialized awesome repositories dedicated to LLM:
• Awesome-LLM-hallucination
• Awesome-hallucination-detection
• Awesome ChatGPT Prompts
• Awesome ChatGPT
• Awesome Deliberative Prompting
• Instruction-Tuning-Papers
• LLM Reading List
• Reasoning using Language Models
• Chain-of-Thought Hub
• Awesome GPT
• Awesome GPT-3
• Awesome LLM Human Preference Datasets
• RWKV-howto
• ModelEditingPapers
• Awesome LLM Security
• Awesome-Code-LLM
• Awesome-LLM-Compression
• Awesome-LLM-Systems
• Awesome-LLM-Healthcare
• Awesome-LLM-Inference
• Awesome-LLM-3D
• LLMDatahub
• Language models for Russian language
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Acquired global fresh database Please send me a sample Scammer please don't waste your time @yuefu666
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India's Largest Free Webinar on LLMs especially focused on the recently released LLAMA-3 by Meta.
How do you use these models?
How can you create apps with them?
Join our free workshop on to learn how to use Llama 3 and create apps with it.
Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive
You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/
This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.
How do you use these models?
How can you create apps with them?
Join our free workshop on to learn how to use Llama 3 and create apps with it.
Register here: https://www.buildfastwithai.com/events/llama-3-deep-dive
You can connect with Founder;
https://www.linkedin.com/in/satvik-paramkusham/
This Event is especially designed for people interested in the field of AI, ML, GenAI & LLMs.
This repository contains different implementations of text analysis in PyTorch:
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This is a selection of Python libraries, links to tutorials, links to code examples for solving DS problems.
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Google, Harvard, and even OpenAI are offering FREE Generative AI courses (no payment required) 🎓
Here are 8 FREE courses to master AI in 2024:
1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118
2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/
3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
4. Prompt Engineering for ChatGPT (Vanderbilt)
6 modules on writing effective prompts for ChatGPT
https://www.coursera.org/learn/prompt-engineering
5. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
6. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/
7. Big Data, AI, and Ethics (UC Davis)
4 modules on big data, IBM's Watson, and AI limitations
https://www.coursera.org/learn/big-data-ai-ethics
8. AI Applications and Prompt Engineering (edX)
Introductory course on prompt engineering and AI applications
https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering
👉 To take Coursera courses for free, click 'Enroll for free' and 'Audit the course'.
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😘 More likes 💦 more posts 🙈
✅️ http://www.tgoop.com/codeprogrammer ✅️
Here are 8 FREE courses to master AI in 2024:
1. Google AI Courses
5 courses covering generative AI from the ground up
https://www.cloudskillsboost.google/paths/118
2. Microsoft AI Course
Basics of AI, neural networks, and deep learning
https://microsoft.github.io/AI-For-Beginners/
3. Introduction to AI with Python (Harvard)
7-week course exploring AI concepts and algorithms
https://www.edx.org/learn/artificial-intelligence/harvard-university-cs50-s-introduction-to-artificial-intelligence-with-python
4. Prompt Engineering for ChatGPT (Vanderbilt)
6 modules on writing effective prompts for ChatGPT
https://www.coursera.org/learn/prompt-engineering
5. ChatGPT Prompt Engineering for Devs (OpenAI & DeepLearning)
Best practices and hands-on prompting experience
https://www.deeplearning.ai/short-courses/chatgpt-prompt-engineering-for-developers/
6. LLMOps (Google Cloud & DeepLearning)
Learn the LLMOps pipeline and deploy custom LLMs
https://www.deeplearning.ai/short-courses/llmops/
7. Big Data, AI, and Ethics (UC Davis)
4 modules on big data, IBM's Watson, and AI limitations
https://www.coursera.org/learn/big-data-ai-ethics
8. AI Applications and Prompt Engineering (edX)
Introductory course on prompt engineering and AI applications
https://www.edx.org/learn/computer-programming/edx-ai-applications-and-prompt-engineering
👉 To take Coursera courses for free, click 'Enroll for free' and 'Audit the course'.
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pip install deepface
It incorporates the best of the VGG-Face, FaceNet, OpenFace, DeepFace, DeepID, ArcFace, Dlib, SFace and GhostFaceNet models.
from deepface import DeepFace
result = DeepFace.verify(img1_path = "img1.jpg", img2_path = "img2.jpg")
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The time for altcoins is coming soon, many coins are set to give 10-20x returns.
2024 is the year of the bull run, with clear confirmations you'll be briefed on here — https://www.tgoop.com/+oVU9m7RyePFmYWYy
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2024 is the year of the bull run, with clear confirmations you'll be briefed on here — https://www.tgoop.com/+oVU9m7RyePFmYWYy
Crypto Baron provides daily market analysis and coins projected to generate hundreds of percent in profit this year!
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Sqlcode 8b based on Llama-3 has been released!
This is probably the best <10B model currently available for converting text to SQL .
Works better than gpt-4-turbo and claude opus for generating SQL queries.
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python -m pip install featuretools
Featuretools is a Python library for automated feature development, i.e. defining variables from the data set for training the ML model.
Featuretools excels at converting temporal and relational datasets into feature matrices for machine learning.
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Not only basic topics are covered here, but also more advanced ones - such as working with
datetime
, itertools
, os
and other modules/librariesGreat source of information to look through before your interview.
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