Harvard CS50 – Free Computer Science Course (2023 Edition)

Here are the lectures included in this course:

Lecture 0 - Scratch
Lecture 1 - C
Lecture 2 - Arrays
Lecture 3 - Algorithms
Lecture 4 - Memory
Lecture 5 - Data Structures
Lecture 6 - Python
Lecture 7 - SQL
Lecture 8 - HTML, CSS, JavaScript
Lecture 9 - Flask
Lecture 10 - Emoji
Cybersecurity

https://www.freecodecamp.org/news/harvard-university-cs50-computer-science-course-2023/

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Aruco Pose Estimator

https://github.com/Shohruh72/Aruco-Pose-Estimator#readme

join us: @MachineLearning_Programming

* PIPNet's precision in facial landmark detection with a record 2.6% NME on the 300W benchmark. Explore the model and its capabilities by visiting our GitHub repository.

Watch the performance showcase on YouTube. Support and star our project on GitHub for future advancements.

video: https://www.youtube.com/watch?v=cxi1WQr-HKE

source code: https://github.com/Shohruh72/PIPNet/tree/main

join our community:
@MachineLearning_Programming

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WHENet: Real-time Fine-Grained Estimation for Wide Range Head Pose

CODE: https://github.com/Ascend-Research/HeadPoseEstimation-WHENet

This channels is for Programmers, Coders, Software Engineers.

0- Python
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https://github.com/ashishpatel26/500-AI-Machine-learning-Deep-learning-Computer-vision-NLP-Projects-with-code


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Machine Learning & Artificial Intelligence Certification for FREE in 2024

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InstantID : Zero-shot Identity-Preserving Generation in Seconds

Free Source Code: https://github.com/InstantID/InstantID.

MLOps Masterclass

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Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy

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Tracking Any Point (TAP)

Welcome to the official Google Deepmind repository for Tracking Any Point (TAP), home of the TAP-Vid Dataset, our top-performing TAPIR model, and our RoboTAP extension.

Source code: https://github.com/google-deepmind/tapnet

Google Colab: https://github.com/google-deepmind/tapnet

join us: @MachineLearning_Programming

This channels is for Programmers, Coders, Software Engineers.

0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
5- Data Analysis
6- Statistics
7- Deep Learning
8- programming Languages

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EfficientViT - SAM:69x Faster SAM: Multi-Scale Linear Attention for High-Resolution Dense Prediction

1. Channel: @deeplearning_ai

2.Source Code: https://github.com/mit-han-lab/efficientvit

3. Paper: https://arxiv.org/abs/2402.05008

🌴🌴Direct-a-Video: driving Video Generation🌴🌴

👉Direct-a-Video is a text-to-video generation framework that allows users to individually or jointly control the camera movement and/or object motion. Authors: City University of HK, Kuaishou Tech & Tianjin.

𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
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👉Channel: @MachineLearning_Programming
👉Paper https://arxiv.org/pdf/2402.03162.pdf
👉Project https://direct-a-video.github.io/

🌟 Discover 6DRepNet: The Ultimate Head Pose Estimation Model!

Features:
* State-of-the-art accuracy
* Comprehensive tools for training, testing, and inference
* Easy setup with conda
* Supports multiple datasets

Watch the performance showcase on GitHub for future advancements.

[Source Code] [Paper]

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👉 @deeplearning_ai