Coursera's Deep Learning course Notes by Andrew Ng.

@CodeProgrammer

AnimateDiff

Effective framework to animate most of existing personalized text-to-image models once for all, saving the efforts in model-specific tuning.

🖥 Github: https://github.com/guoyww/animatediff/

🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb

📕 Paper: https://arxiv.org/abs/2307.04725

🚀 Project: https://animatediff.github.io/

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Cheat Sheets for AI Neural Networks, Machine Learning, DeepLearning & Big Data

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🔈 Urhythmic: Rhythm Modeling for Voice Conversion

Unsupervised Rhythm Modeling for Voice Conversion.

🖥 Github: https://github.com/bshall/urhythmic

🖥 Documentation: https://colab.research.google.com/github/bshall/urhythmic/blob/main/urhythmic_demo.ipynb

📕 Paper: https://arxiv.org/abs/2307.06040v1

🚀 Dataset: https://paperswithcode.com/dataset/vctk

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

Are you looking to break into Machine Learning?

Here is a great place to start:

This is the best video series about Neural Networks for anyone who wants to understand how they work.

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This channels is for Programmers, Coders, Software Engineers.

0- Python
1- Data Science
2- Machine Learning
3- Data Visualization
4- Artificial Intelligence
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6- Statistics
7- Deep Learning
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📸 DeepVision

🖥 Github: https://github.com/cisco-open/deepvision

⏩ Paper: https://arxiv.org/pdf/2307.02738v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/truthfulqa

https://news.1rj.ru/str/DataScienceM

Extract Text From a Multi-Column Document Using PyMuPDF in Python

Code: https://artifex.com/blog/extract-text-from-a-multi-column-document-using-pymupdf-inpython

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

Image as Set of Points - ICLR'23 [Oral, Top5%]

🖥 Github: https://github.com/ma-xu/context-cluster

⏩ Paper: https://arxiv.org/abs/2303.01494v1

💨 Dataset: https://paperswithcode.com/dataset/scanobjectnn

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

Neural Video Depth Stabilizer (ICCV2023) 🚀🚀🚀

🖥 Github: https://github.com/raymondwang987/nvds

⏩ Paper: https://arxiv.org/pdf/2307.08695v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/wsvd

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

💬 Text2Cinemagraph: Synthesizing Artistic Cinemagraphs from Text

🖥 Github: https://github.com/text2cinemagraph/text2cinemagraph

🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb

📕 Paper: https://arxiv.org/pdf/2307.03190.pdf

🚀 Project: https://text2cinemagraph.github.io/website/

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

🔥 Llama 2: Open Foundation and Fine-Tuned Chat Models

Llama 2 collection of pretrained and fine-tuned large language models (LLMs).

🖥 Github: https://github.com/facebookresearch/llama

⭐️ Demo: https://huggingface.co/blog/llama2

🤗Hugging face: https://huggingface.co/meta-llama/Llama-2-70b

📕 Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/

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

SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator

🖥 Github: https://github.com/czvvd/svdformer

⏩ Paper: https://arxiv.org/pdf/2307.08492v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/shapenet

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