🥇 TokenCompose, a text-to-image latent diffusion model trained with fine-grained grounding objectives

🖥 Code: https://github.com/mlpc-ucsd/TokenCompose

🏆 Website: https://mlpc-ucsd.github.io/TokenCompose/

📚 Paper: https://huggingface.co/papers/2312.03626

@Machine_learn

Exploring the potential of channel interactions for image restoration

🖥 Github: https://github.com/c-yn/ChaIR

📕 Paper: https://www.sciencedirect.com/science/article/abs/pii/S0950705123009061

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

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

@Machine_learn

🖥 Self-conditioned Image Generation via Generating Representations

A new benchmark in class-unconditional image generation.

🖥 Github: https://github.com/LTH14/rcg

📚 Paper: https://arxiv.org/abs/2312.03701

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

@Machine_learn

Repaint123: Fast and High-quality One Image to 3D Generation with Progressive Controllable 2D Repainting

🖥 Github: https://github.com/junwuzhang19/repaint123

📕 Paper: https://arxiv.org/pdf/2312.13271v1.pdf

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

@Machine_learn

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