PG-RCNN: Semantic Surface Point Generation for 3D Object Detection (ICCV 2023)

🖥 Github: https://github.com/quotation2520/pg-rcnn

📕 Paper: https://arxiv.org/pdf/2307.12637v1.pdf

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

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

✅ LISA: Reasoning Segmentation via Large Language Model

New segmentation task -- reasoning segmentation. The task is designed to output a segmentation mask given a complex and implicit query text.

🖥 Github: https://github.com/dvlab-research/lisa

📕 Paper: https://arxiv.org/abs/2308.00692v2

☑️ Dataset: https://github.com/dvlab-research/lisa#dataset

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

Machine Learning with Python Cookbook (2023)

This book is available now only in paid channel

Cost of Paid channel is 5$ for one time and forever

Channel link: https://news.1rj.ru/str/+LnCmAFJO3tNmYjUy

Paid channel contain important book and udemy and other courses as zip files

Welcome all
Contact @Hussein_sheikho

Rule By Example: Harnessing Logical Rules for Explainable Hate Speech Detection

🖥 Github: https://github.com/chrisisking/rule-by-example

📕 Paper: https://arxiv.org/pdf/2307.12935v1.pdf

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

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

Learning Dynamic Query Combinations for Transformer-based Object Detection and Segmentation

🖥 Github: https://github.com/bytedance/dq-det

📕 Paper: https://arxiv.org/pdf/2307.12239v1.pdf

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

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

🚀 AgentBench: Evaluating LLMs as Agents.

AgentBench, a multi-dimensional evolving benchmark that currently consists of 8 distinct environments to assess LLM-as-Agent's reasoning and decision-making abilities in a multi-turn open-ended generation setting.

🖥 Github: https://github.com/thudm/agentbench

📕 Paper: https://arxiv.org/abs/2308.03688v1

☑️ Dataset: https://paperswithcode.com/dataset/alfworld

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

🪄Optimizing a Text-To-Speech model using 🤗 Transformers

🤗 Post: https://huggingface.co/blog/optimizing-bark

🖥 Colab: https://colab.research.google.com/github/ylacombe/notebooks/blob/main/Benchmark_Bark_HuggingFace.ipynb

⭐️ Bark: https://huggingface.co/docs/transformers/main/en/model_doc/bark#overview

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

EchoGLAD: Hierarchical Graph Neural Networks for Left Ventricle Landmark Detection on Echocardiograms

🖥 Github: https://github.com/DSL-Lab/echoglad

📕 Paper: https://arxiv.org/pdf/2307.12229v1.pdf

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

FATRER

🖥 Github: https://github.com/ludybupt/FATRER

📕 Paper: https://arxiv.org/pdf/2307.12221v1.pdf

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

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

Revisiting the Minimalist Approach to Offline Reinforcement Learning

🖥 Github: https://github.com/tinkoff-ai/rebrac

📕 Paper: https://arxiv.org/pdf/2305.09836v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/d4rl

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

🔥Platypus: Quick, Cheap, and Powerful Refinement of LLMs

Family of fine-tuned and merged LLMs that achieves the strongest performance and currently stands at first place in HuggingFace's

git clone https://github.com/lm-sys/FastChat.git
cd FastChat

🖥 Github: https://github.com/arielnlee/Platypus

💻 Project: https://platypus-llm.github.io/

📕 Paper: https://arxiv.org/abs/2308.07317v1

⭐️ Dataset: https://huggingface.co/datasets/garage-bAInd/Open-Platypus

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

Encyclopedia of Data Science and Machine Learning (2023)

This book was released two days ago and this book is more than 3400 pages.

With this book, you can become a first-class professional data scientist

The price of the book is $3,400

To get a discount of up to 95%, contact me immediately

Contact @hussein_sheikho

✍ EasyEdit: An Easy-to-use Knowledge Editing Framework for Large Language Models

EasyEdit, demonstrating that knowledge editing surpasses traditional fine-tuning in terms of reliability and generalization.

🖥 Github: https://github.com/zjunlp/easyedit

📕 Paper: https://arxiv.org/abs/2308.07269v1

⭐️ Demo: http://knowlm.zjukg.cn/demo_edit

🎓Online Tutorial: https://colab.research.google.com/drive/1zcj8YgeqttwkpfoHXz9O9_rWxFFufXSO?usp=sharing

☑️ Docs: https://zjunlp.gitbook.io/easyedit

🤓 Dataset: https://drive.google.com/file/d/1IVcf5ikpfKuuuYeedUGomH01i1zaWuI6/view?usp=sharing

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

🧑‍💻DeciCoder: A new open-source LLM, specialized for generating code in Python, Java, and Javanoscript..

- parameters: 1 B
- dataset: 'The Stack' dataset
- supports: Python, Javanoscript, Java
- context: 2048 tokens

▪Model
▪Colab
▪Dataset

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