An Empirical Study on Compliance with Ranking Transparency in the Software Documentation of EU Online Platforms

🖥 Github: https://github.com/francesco-sovrano/automating-regulatory-compliance-an-empirical-study-on-ranking-transparency-of-eu-online-platforms

📕 Paper: https://arxiv.org/pdf/2312.14794v1.pdf

✨ Tasks: https://paperswithcode.com/task/information-retrieval

@Machine_learn

⚡️ LLM360 - framework for open-source LLMs to foster transparency, trust, and collaborative research


🖥 Code: https://short.llm360.ai/amber-code

⚡️ Model: https://short.llm360.ai/amber-model

🖌Metrics: https://short.llm360.ai/amber-metrics

📚Data: https://short.llm360.ai/amber-data

@Machine_learn

من پايم 😬
@Machine_learn

🎞ViStripformer (Video-Stripformer)

🖥 Github: https://github.com/pp00704831/ViStripformer

📕 Paper: https://arxiv.org/pdf/2312.14502v1.pdf

✨ Tasks: https://paperswithcode.com/task/deblurring

🔥Datasets: https://paperswithcode.com/dataset/gopro

@Machine_learn

LaneSegNet: Map Learning with Lane Segment Perception for Autonomous Driving

🖥 Github: https://github.com/OpenDriveLab/LaneSegNet

📕 Paper: https://arxiv.org/abs/2312.16108v1

🔥Datasets: https://paperswithcode.com/dataset/openlane-v2


@Machine_learn

🧠 EasyVolcap: Accelerating Neural Volumetric Video Research


🖥 Code: https://github.com/zju3dv/easyvolcap

🖌Metrics: https://short.llm360.ai/amber-metrics

📚 Paper: https://arxiv.org/abs/2312.06575v1

⚡️ Dataset: https://paperswithcode.com/dataset/nerf

@Machine_learn

TEXTRON: Weakly Supervised Multilingual Text Detection through Data Programming

🖥 Github: https://github.com/IITB-LEAP-OCR/TEXTRON

📕 Paper: https://openaccess.thecvf.com/content/WACV2024/papers/Kudale_Textron_Weakly_Supervised_Multilingual_Text_Detection_Through_Data_Programming_WACV_2024_paper.pdf

🔥Datasets: https://paperswithcode.com/dataset/docbank

✨ Tasks: https://paperswithcode.com/task/optical-character-recognition

@Machine_learn

TinyLlama-1.1B

🖥 Github: https://github.com/jzhang38/tinyllama

📕 Paper: https://arxiv.org/pdf/2401.02385v1.pdf

🔥Datasets: https://paperswithcode.com/dataset/mmlu

@Machine_learn

💡 TextDiffuser-2: Unleashing the Power of Language Models for Text Rendering

Выпущен TextDiffuser-2 с кодом и демо.

📚 Paper: https://arxiv.org/abs/2311.16465

🖥 Code: https://github.com/microsoft/unilm/tree/master/textdiffuser-2

⚡️ Demo: https://huggingface.co/spaces/JingyeChen22/TextDiffuser-2

@Machine_learn

Sign Language Understanding

🖥 Github: https://github.com/FangyunWei/SLRT

📕 Paper: https://arxiv.org/pdf/2401.05336v1.pdf

🔥Datasets: https://paperswithcode.com/dataset/csl-daily
@Machine_learn

Book: Fight Fraud with Machine Learning
Authors: Ashish Ranjan Jha
ISBN: Null
year: 2023
pages: 288
Tags: #Machine_learning
@Machine_learn

ViQuAE

🖥 Github: https://github.com/paullerner/viquae

📕 Paper: https://arxiv.org/pdf/2401.05736v1.pdf

🔥Datasets: https://paperswithcode.com/dataset/imagenet

✨ Tasks: https://paperswithcode.com/task/cross-modal-retrieval

@Machie_learn

🖼 AnimateDiff: Animate Your Personalized Text-to-Image Diffusion Models without 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/

@Machine_learn

Language Tool

LanguageTool is an Open Source proofreading software for English, Spanish, French, German, Portuguese, Polish, Dutch, and more than 20 other languages. It finds many errors that a simple spell checker cannot detect.

Creator: LanguageTool
Stars: ⭐️ 9.8k
Forked by: 1.1k
GitHub repo: https://github.com/languagetool-org/languagetool

#tools #LanguageTools
➖➖➖➖➖➖➖➖➖➖

@Machine_learn

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

@Machine_learn

🖼 ImageDream: Image-Prompt Multi-view Diffusion for 3D Generation



🖥 GitHub: https://github.com/bytedance/ImageDream

📚 Paper: https://arxiv.org/abs/2312.02201

🥩 Demo: https://github.com/bytedance/ImageDream/blob/main

@Machine_learn

SAM-Med2D ➕

SAM-Med2D, the most comprehensive studies on applying SAM to medical 2D images.


🖥 Github: https://github.com/uni-medical/sam-med2d

🖥 Colab: https://colab.research.google.com/github/uni-medical/SAM-Med2D/blob/main/predictor_example.ipynb

📕 Paper: https://arxiv.org/abs/2308.16184

⭐️ Dataset: https://paperswithcode.com/dataset/sa-1b

@Machine_learn

Book: Machine Learning for Financial
Risk Management with Python
Authors: Abdullah Karasan
ISBN: 978-1-492-08518-8
year: 2022
pages: 194
Tags: #Machine_learning #financial
@Machine_learn