💃 (Moore) Animate Anyone: Consistent and Controllable Image-to-Video Synthesis for Character Animation

🖥 Code: https://github.com/MooreThreads/Moore-AnimateAnyone

🚀 Colab: github.com/camenduru/Moore-AnimateAnyone-colab

📚 Paper: arxiv.org/abs/2311.17117

🌟 Project: humanaigc.github.io/animate-anyone/

Prometheus-Vision: Vision-Language Model as a Judge for Fine-Grained Evaluation

🖥 Github: https://github.com/kaistai/prometheus-vision

📕 Paper: https://arxiv.org/abs/2401.06591v1

🔥Datasets: https://paperswithcode.com/dataset/ok-vqa

To learn AI from basics:
YouTube: https://www.youtube.com/c/asifimmanad

Telegram: https://news.1rj.ru/str/DataScienceT

Enhancing Video Super-Resolution via Implicit Resampling-based Alignment

🖥 Github: https://github.com/kai422/iart

📕 Paper: https://github.com/kai422/IART/blob/main/arxiv.pdf

🔥Datasets: https://paperswithcode.com/task/video-super-resolution

Telegram: https://news.1rj.ru/str/DataScienceT

[O’REILLY] Data Science Bookcamp, Video Edition

In Data Science Bookcamp you will find:

• Techniques for computing and plotting probabilities
• Statistical analysis using Scipy
• How to organize datasets with clustering algorithms
• How to visualize complex multi-variable datasets
• How to train a decision tree machine learning algorithm

In Data Science Bookcamp you’ll test and build your knowledge of Python with the kind of open-ended problems that professional data scientists work on every day. Downloadable data sets and thoroughly-explained solutions help you lock in what you’ve learned, building your confidence and making you ready for an exciting new data science career.

Size: 6.4 GB - Telegram Videos

Price: 20$ (PayPal - payeer - crypto - udst - MasterCard - visaca)

Contact @hussein_sheikho

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Depth Anything
Unleashing the Power of Large-Scale Unlabeled Data

[Paper] [Code] [Demo]

Telegram: https://news.1rj.ru/str/DataScienceT

🔮 Awesome AI Agents

New 🌟 Curated list of AI agents 🌟 !.

▪ 150+ AI agents and frameworks.
▪ Filter by usage scenarios .
▪ Filter by open/closed source.
▪ Filter new AI products
▪ Ability to receive updates about a specific AI agent.

🖥 Github: https://github.com/e2b-dev/awesome-ai-agents

🎮 Project: https://e2b.dev/ai-agents

[ZeroToMastery] PyTorch for Deep Learning

This course available now in our courses wallet channel

To download this course and others courses

Only request join to channel and pay 35$ (one time payment - permanent subnoscription) and after payment we will accept your request.
https://news.1rj.ru/str/+m8PrTuog5cgwMzUy

Contact @hussein_sheikho

🖥 Depth Anything is now available

Monocular depth estimation is the task of estimating the depth value (distance relative to the camera) of each pixel given a single (monocular) RGB image.

🖥 Code: https://github.com/NielsRogge/Transformers-Tutorials/blob/master/Depth%20Anything/Predicting_depth_in_an_image_with_Depth_Anything.ipynb

🚀 HF: https://huggingface.co/docs/transformers/v4.28.0/tasks/monocular_depth_estimation

📚 Paper: https://huggingface.co/papers/2401.10891

List of important courses available on our channel “Course Portfolio”

Note: We are adding more courses daily

🟢 [Coursera] Data Wrangling With Python Specialization

🟢 [Coursera] Machine Learning On Google Cloud Specialization

🟢 [ZeroToMastery] PyTorch for Deep Learning.

🟢 [Academind Pro] Python Django – The Practical Guide

🟢 [O’REILLY] Learn AI-Assisted Python Programming

🟢 Modern Computer Vision™ PyTorch, Tensorflow2 Keras & OpenCV4

🟢 Code With Mosh – Complete Python Mastery

🟢 [Coursera] Data Structures And Algorithms Specialization

🟢 [Udacity] Data Structures And Algorithms Nanodegree v2.0.0

🟢 [Udacity] Learn all the essentials for AI programming with Python

⭐️ Only request join to channel and pay 35$ (one time payment - permanent subnoscription) and after payment we will accept your request.
https://news.1rj.ru/str/+m8PrTuog5cgwMzUy

Contact @hussein_sheikho

CreativeSynth: Creative Blending and Synthesis of Visual Arts based on Multimodal Diffusion

🖥 Github: https://github.com/haha-lisa/creativesynth

📕 Paper: https://arxiv.org/pdf/2401.14066v1.pdf

✨ Tasks: https://paperswithcode.com/task/image-generation

pix2gestalt: Amodal Segmentation by Synthesizing Wholes

🖥 Github: https://github.com/cvlab-columbia/pix2gestalt

📕 Paper: https://arxiv.org/pdf/2401.14398v1.pdf

✨ Tasks: https://paperswithcode.com/task/3d-reconstruction

⭐️ GALA: Generating Animatable Layered Assets
from a Single Scan

🖥 Code: https://github.com/snuvclab/GALA

🚀 Project: snuvclab.github.io/gala

📚 Paper: https://arxiv.org/abs/2401.12979