Guideline following Large Language Model for Information Extraction
🖥 Github: https://github.com/hitz-zentroa/gollie
⏩ Tutorial: https://github.com/stanfordnlp/dspy/blob/main/intro.ipynb
⭐️ Project: https://hitz-zentroa.github.io/GoLLIE/
📕 Paper: https://arxiv.org/abs/2310.03668v1
⭐️ Dataset: https://paperswithcode.com/dataset/harveyner
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/hitz-zentroa/gollie
⏩ Tutorial: https://github.com/stanfordnlp/dspy/blob/main/intro.ipynb
⭐️ Project: https://hitz-zentroa.github.io/GoLLIE/
📕 Paper: https://arxiv.org/abs/2310.03668v1
⭐️ Dataset: https://paperswithcode.com/dataset/harveyner
https://t.iss.one/DataScienceT
👍4
💻 Graph Structure Learning Benchmark (GSLB)
pip install GSLB
🖥 Github: https://github.com/gsl-benchmark/gslb
📕 Paper: https://arxiv.org/abs/2310.05163v1
⭐️ Paper collection: https://github.com/GSL-Benchmark/Awesome-Graph-Structure-Learning
https://t.iss.one/DataScienceT
pip install GSLB
🖥 Github: https://github.com/gsl-benchmark/gslb
📕 Paper: https://arxiv.org/abs/2310.05163v1
⭐️ Paper collection: https://github.com/GSL-Benchmark/Awesome-Graph-Structure-Learning
https://t.iss.one/DataScienceT
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✅ Mini-DALLE3: Interactive Text to Image by Prompting Large Language Models.
🖥 Github: https://github.com/Zeqiang-Lai/Mini-DALLE3
📕 Paper: https://arxiv.org/abs/2310.07653v1
⭐️ Dataset: https://paperswithcode.com/dataset/mmlu
🖥 Github: https://github.com/Zeqiang-Lai/Mini-DALLE3
📕 Paper: https://arxiv.org/abs/2310.07653v1
⭐️ Dataset: https://paperswithcode.com/dataset/mmlu
❤1
Augment to Interpret
🖥 Github: https://github.com/euranova/augment_to_interpret
📕 Paper: https://arxiv.org/pdf/2309.16564v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cora
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/euranova/augment_to_interpret
📕 Paper: https://arxiv.org/pdf/2309.16564v1.pdf
🔥 Dataset: https://paperswithcode.com/dataset/cora
https://t.iss.one/DataScienceT
👍1
Incremental Transfer Learning (ITL) Survey
🖥 Github: https://github.com/yixinghuang/itlsurvey
📕 Paper: https://arxiv.org/pdf/2309.17192v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/tiny-imagenet
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/yixinghuang/itlsurvey
📕 Paper: https://arxiv.org/pdf/2309.17192v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/tiny-imagenet
https://t.iss.one/DataScienceT
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🧠 LightZero: A Unified Benchmark for Monte Carlo Tree Search in General Sequential Decision Scenarios.
🖥 Github: https://github.com/opendilab/LightZero
📕 Paper: https://arxiv.org/abs/2310.08348v1
⭐️ Tasks: https://paperswithcode.com/task/atari-games
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/opendilab/LightZero
📕 Paper: https://arxiv.org/abs/2310.08348v1
⭐️ Tasks: https://paperswithcode.com/task/atari-games
https://t.iss.one/DataScienceT
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🔥 Burn - A Flexible and Comprehensive Deep Learning Framework in Rust
🖥 Github: https://github.com/burn-rs/burn
📕 Burn Book: https://burn-rs.github.io/book/
⭐️ Guide: https://www.kdnuggets.com/rust-burn-library-for-deep-learning
https://t.iss.one/DataScienceT
cargo new new_burn_app
🖥 Github: https://github.com/burn-rs/burn
📕 Burn Book: https://burn-rs.github.io/book/
⭐️ Guide: https://www.kdnuggets.com/rust-burn-library-for-deep-learning
https://t.iss.one/DataScienceT
👍6❤1
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✨ Cross-Episodic Curriculum for Transformer Agents
🖥 Github: https://github.com/CEC-Agent/CEC
📕 Paper: https://cec-agent.github.io/src/bib.txt
⭐️ Project: https://cec-agent.github.io
https://t.iss.one/DataScienceT
pip install git+https://github.com/cec-agent/CEC
🖥 Github: https://github.com/CEC-Agent/CEC
📕 Paper: https://cec-agent.github.io/src/bib.txt
⭐️ Project: https://cec-agent.github.io
https://t.iss.one/DataScienceT
❤1
👨 AG3D: Learning to Generate 3D Avatars from 2D Image Collections (ICCV 2023)
🖥 Github: https://github.com/zj-dong/AG3D
📕 Paper: https://arxiv.org/abs/2305.02312
🚀Video: https://youtu.be/niP1YhJXEBE
⭐️ Project: https://zj-dong.github.io/AG3D/
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/zj-dong/AG3D
📕 Paper: https://arxiv.org/abs/2305.02312
🚀Video: https://youtu.be/niP1YhJXEBE
⭐️ Project: https://zj-dong.github.io/AG3D/
https://t.iss.one/DataScienceT
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FER
🖥 Github: https://github.com/ict-bigdatalab/fer
📕 Paper: https://arxiv.org/pdf/2310.11868v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/fever
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/ict-bigdatalab/fer
📕 Paper: https://arxiv.org/pdf/2310.11868v1.pdf
🔥 Datasets: https://paperswithcode.com/dataset/fever
https://t.iss.one/DataScienceT
👍1
🐾 Putting the Object Back into Video Object Segmentation (Cutie)
🖥 Github: https://github.com/hkchengrex/Cutie
🖥 Colab: https://colab.research.google.com/drive/1yo43XTbjxuWA7XgCUO9qxAi7wBI6HzvP?usp=sharing
📕 Paper: https://arxiv.org/abs/2310.12982v1
🚀Project: https://hkchengrex.github.io/Cutie/
https://t.iss.one/DataScienceT
git clone https://github.com/hkchengrex/Cutie.git
🖥 Github: https://github.com/hkchengrex/Cutie
🖥 Colab: https://colab.research.google.com/drive/1yo43XTbjxuWA7XgCUO9qxAi7wBI6HzvP?usp=sharing
📕 Paper: https://arxiv.org/abs/2310.12982v1
🚀Project: https://hkchengrex.github.io/Cutie/
https://t.iss.one/DataScienceT
👍1
🖥 AutoGen
AutoGen provides multi-agent conversation framework as a high-level abstraction.
🖥 Github: https://github.com/microsoft/autogen
📕 Project: https://microsoft.github.io/autogen/
🤗 FLAML.: https://github.com/microsoft/FLAML
https://t.iss.one/DataScienceT
AutoGen provides multi-agent conversation framework as a high-level abstraction.
🖥 Github: https://github.com/microsoft/autogen
📕 Project: https://microsoft.github.io/autogen/
🤗 FLAML.: https://github.com/microsoft/FLAML
https://t.iss.one/DataScienceT
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