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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* 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

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Generative Models by Stability AI

source code: https://github.com/stability-ai/generative-models

paper: https://static1.squarespace.com/static/6213c340453c3f502425776e/t/655ce779b9d47d342a93c890/1700587395994/stable_video_diffusion.pdf


provided a streamlit demo for text-to-image and image-to-image sampling in scripts/demo/sampling.py. They provide file hashes for the complete file as well as for only the saved tensors in the file ( see Model Spec for a script to evaluate that).

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📢 FREE TRAINING: Master MLOps for ML deployment and operations on AWS, Azure, GCP & open-source tools! 🚀

🔥 Join our FREE MLOps course demo and acquire essential skills for AI and data science across Multicloud 🚀

👉 Reserve your seat now:
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🌟 What you'll gain:
1️⃣ ML model deployment techniques on AWS, Azure, GCP & open source.
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StreamDiffusion: A Pipeline-level Solution for Real-time Interactive Generation

paper: https://arxiv.org/pdf/2312.12491v1.pdf

source code: https://github.com/cumulo-autumn/streamdiffusion?tab=readme-ov-file

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Open-Vocabulary SAM


[Paper] [Project Page] [Hugging Face Demo]

Source Code: https://github.com/harboryuan/ovsam?tab=readme-ov-file



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PhotoMaker: Customizing Realistic Human Photos via Stacked ID Embedding

[Paper] [Project Page] [Model Card]
[🤗 Demo (Realistic)] [🤗 Demo (Stylization)]

🌠 Key Features:
1. Rapid customization within seconds, with no additional LoRA training.
2. Ensures impressive ID fidelity, offering diversity, promising text controllability, and high-quality generation.
3. Can serve as an Adapter to collaborate with other Base Models alongside LoRA modules in community.

Depth Anything
Unleashing the Power of Large-Scale Unlabeled Data

[Paper] [Code] [Demo]

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MLOps Masterclass

🔥Closing registration soon!

Navigating the Landscape of MLOps & LLMOps - Understanding the Synergy

Register Now👇
https://bit.ly/mlops-masterclass

Schedule:
February 24th (Sat) & 25th (Sun), 10AM to 2:30 PM

Highlights of this Masterclass:
▪️MLOps Introduction
▪️MLOps for LLM's (LLMOps)
▪️MLOps and Stages
▪️AWS SageMaker
▪️CI/CD for MLOps
▪️AWS MLOps - Build, Train & deploy ML Model

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+918940876397 / +918778033930

Awesome-AIGC-3D

A curated list of awesome AIGC 3D papers, inspired by awesome-NeRF.

Source code: https://github.com/hitcslj/awesome-aigc-3d?tab=readme-ov-file

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