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

🌆Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback

🖥 Github: https://github.com/tetrzim/diffusion-human-feedback

⏩ Paper: https://arxiv.org/pdf/2307.02770v1.pdf

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

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

FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets

🖥 Github: https://github.com/kaistai/flask

⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf

💨 Dataset: https://paperswithcode.com/dataset/gsm8k

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

↗️ L-Eval: Instituting Standardized Evaluation for Long Context Language Models

Data and code for L-Eval, a comprehensive long context language models evaluation benchmark.

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

🧑‍💻Model: https://huggingface.co/datasets/L4NLP/LEval

📕 Paper: https://arxiv.org/abs/2307.11088

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

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

200 Udacity FREE Courses on Machine Learning and Data Science!

https://www.mltut.com/udacity-free-courses-on-machine-learning/

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

Kaggle is one of the goto platforms for Machine Learning

Here's how to use it to it's maximum potential 💯

{ Explore Learn Section }
kaggle.com/learn

{ Explore Datasets }
kaggle.com/datasets

{ Explore Challenges}
kaggle.com/competitions

{ Learn By Building }
kaggle.com/code

{ Seek & Give Help }
kaggle.com/discussion

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⏩ Edge Guided GANs with Multi-Scale Contrastive Learning for Semantic Image Synthesis

🖥 Github: https://github.com/ha0tang/ecgan

📕 Paper: https://arxiv.org/abs/2307.12084v1

🔥 Dataset: https://paperswithcode.com/dataset/cityscapes

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

Remote Bio-Sensing: Open Source Benchmark Framework for Fair Evaluation of rPPG

🖥 Github: https://github.com/remotebiosensing/rppg

📕 Paper: https://arxiv.org/abs/2307.12644v1

🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg

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

TF-ICON: Diffusion-Based Training-Free Cross-Domain Image Composition (ICCV 2023)

🖥 Github: https://github.com/Shilin-LU/TF-ICON

📕 Paper: https://arxiv.org/abs/2307.12644v1

🔥 Dataset: https://paperswithcode.com/dataset/ubfc-rppg

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

ANNOUNCING SDXL 1.0

The Stability AI team is proud to release as an open model SDXL 1.0, the next iteration in the evolution of text-to-image generation models.

💫 Announcement: https://stability.ai/blog/stable-diffusion-sdxl-1-announcement

🖥 Github: https://github.com/Stability-AI/generative-models

⭐️ Clip: https://clipdrop.co/stable-diffusion

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

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