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Best Python libraries for Machine Learning that are open source 💯

A summary about each with their GitHub link 😉

Thread 🧵👇

 1. Pandas

It aims to be the fundamental high-level building block for practical, real-world data analysis in Python.

🔗 https://t.co/toOkhEazmQ
2. OpenCV

It has more than 2500 highly optimised algorithms for machine learning and computer vision that can do just about anything with images.

🔗 https://t.co/Z967hfrsvI
3. Matplotlib

Matplotlib is a comprehensive library for creating static, animated, and interactive visualizations in Python.

🔗 https://t.co/ocpMxzCSmX
4. Tensorflow

It's an end-to-end Machine Learning and Deep Learning library to solve real-world challenges.

🔗https://t.co/wNhupEWq3k
5. Keras

Released in 2015, Keras is an advanced open-source Python deep learning API and framework built on top of Tensorflow-another powerful ML platform.

🔗 https://t.co/hHDCRRHrB7
6. NumPy

It is the fundamental package for scientific computing with Python.

🔗 https://t.co/SLIqjhdQNX
7. Scikit-learn

It is a Python module for machine learning built on top of SciPy and is distributed under the 3-Clause BSD license.

🔗 https://t.co/nF6JHcO6TF
That's a wrap!

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அஸ்தினாபுரத்து அரசி👸...
@SivaRoobini555
#தினம்_ஒரு_திருவாசகம்
தொல்லை இரும்பிறவிச் சூழும் தளை நீக்கி
அல்லல் அறுத்து ஆனந்தம் ஆக்கியதே – எல்லை
மருவா நெறியளிக்கும் வாதவூர் எங்கோன்
திருவாசகம் என்னும் தேன்

பொருள்:
1.எப்போது ஆரம்பித்தது என அறியப்படமுடியாத தொலை காலமாக (தொல்லை)

2. இருந்து வரும் (இரும்)


3.பிறவிப் பயணத்திலே ஆழ்த்துகின்ற (பிறவி சூழும்)

4.அறியாமையாகிய இடரை (தளை)

5.அகற்றி (நீக்கி),

6.அதன் விளைவால் சுகதுக்கமெனும் துயரங்கள் விலக (அல்லல் அறுத்து),

7.முழுநிறைவாய்த் தன்னுளே இறைவனை உணர்த்துவதே (ஆனந்த மாக்கியதே),

8.பிறந்து இறக்கும் காலவெளிகளில் (எல்லை)

9.பிணைக்காமல் (மருவா)

10.காக்கும் மெய்யறிவினைத் தருகின்ற (நெறியளிக்கும்),

11.என் தலைவனான மாணிக்க வாசகரின் (வாதவூரெங்கோன்)

12.திருவாசகம் எனும் தேன் (திருவா சகமென்னுந் தேன்)

முதல்வரி: பிறவி என்பது முன்வினை விதையால் முளைப்பதோர் பெருமரம். அந்த ‘முன்வினை’ எங்கு ஆரம்பித்தது எனச் சொல்ல இயலாது. ஆனால் ‘அறியாமை’ ஒன்றே ஆசைக்கும்,, அச்சத்துக்கும் காரணம் என்பதால், அவையே வினைகளை விளைவிப்பன என்பதால், தொடர்ந்து வரும் பிறவிகளுக்கு, ‘அறியாமையே’ காரணம்

அறியாமைக்கு ஆரம்பம் கிடையாது. நமக்கு ஒரு பொருளைப் பற்றிய அறிவு எப்போதிருந்து இல்லை? அதைச் சொல்ல முடியாது. அதனாலேதான் முதலடியில், ஆரம்பமில்லாத அஞ்ஞானத்தை பிறவிகளுக்குக் காரணமாகச் சொல்லியது. ஆனால் அறியாமை, அறிவின் எழுச்சியால், அப்போதே முடிந்து விடும்.
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Anu Satheesh \U0001f1ee\U0001f1f3
Anu Satheesh 🇮🇳...
@AnuSatheesh5
Srikanteshwara Temple,
#Nanjangud  #Karnatakatemples 🚩

Srikanteshwara Temple or
Nanjundeshwara Temple is a famous Shiva Temple located in Karnataka at the bank of river  Kapila. Temple is also called Varanasi of South. Nanjunda means one who has consumed poison.


Story is  related to the Samudra Mathanam when Paramashiva had to consume halahala.

Parashurama worshipped Mahadeva here to relieve himself from the curse of Mathru Hatya. While clearing the place to do poojas Parashurama's  axe hit the Shivalingam and it began bleeding, that


mark is still visible even today. Thus
it is also believed that Parashurama did Shiva Prathishta here

Sthala Puranam says that, once there was a demon named Keshi who disturbed the people in the area, after  getting blessing from Brahma Deva  and Mahavishnu. Mahadeva appeared


here and killed demon Keshi and blessed this place as Papa Vinashini. Whoever praying to Srikanteshwara or Nanjundeshwara, after bathing in the  Kabini River will be relieved from all sins.

Nanjundeshwaraya Namah
🙏🕉🙏
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श्रीमाली हितेश अवस्थी ...
@HiteshAwasthi89
#Thread
An interesting story of Kamala Devi hazarika for all Sanatanis...🙏

A Xtian missionary was sent to Assam for the promotion of religion. His name was Cruz. He came across to one the boys from an influential family in Assam to teach him English.
@noconversion

Cont 👇


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Siddharth Karamcheti
Siddharth Karamcheti
@siddkaramcheti
How can we use language supervision to learn better visual representations for robotics?

Introducing Voltron: Language-Driven Representation Learning for Robotics!

Paper: https://t.co/gIsRPtSjKz
Models: https://t.co/NOB3cpATYG
Evaluation: https://t.co/aOzQu95J8z

🧵👇(1 / 12)


Videos of humans performing everyday tasks (Something-Something-v2, Ego4D) offer a rich and diverse resource for learning representations for robotic manipulation.

Yet, an underused part of these datasets are the rich, natural language annotations accompanying each video. (2/12)

The Voltron framework offers a simple way to use language supervision to shape representation learning, building off of prior work in representations for robotics like MVP (https://t.co/Pb0mk9hb4i) and R3M (https://t.co/o2Fkc3fP0e).

The secret is *balance* (3/12)

Starting with a masked autoencoder over frames from these video clips, make a choice:

1) Condition on language and improve our ability to reconstruct the scene.

2) Generate language given the visual representation and improve our ability to describe what's happening. (4/12)

By trading off *conditioning* and *generation* we show that we can learn 1) better representations than prior methods, and 2) explicitly shape the balance of low and high-level features captured.

Why is the ability to shape this balance important? (5/12)
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Angela Jamison
Angela Jamison
@AnJamison
@TheLastFarm @buzz\_chronicles @buzz\\\_chronicles @buzz_chronicles save as category @pdfmakerapp grab @pdfmakerapp grab this @readwiseio save @readwiseio save thread @threader compile summarize @Threadreaderapp unroll please @ttttreads unroll @unrollthread.com @SaveToBookmarks
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It is said that Narsimha’s fierce nature is soothed by worshipping him with Varaha, considered a peaceful deity


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