Data Science | Machine Learning with Python for Researchers

💥 MMICL: Empowering Vision-language Model with Multi-Modal In-Context Learning

MMICL is a multimodal vision-language model with the ability to analyze and understand multiple images, as well as follow instructions.

🖥 Github: https://github.com/haozhezhao/mic

📕 Paper: https://arxiv.org/abs/2309.07915v1

⭐️ Datasets: https://paperswithcode.com/dataset/mmbench

https://t.iss.one/DataScienceT

👍4

2.46K views11:10

Data Science | Machine Learning with Python for Researchers

LLM_Fine_Tuning_Molecular_Properties

🖥 Github: https://github.com/SylwiaNowakowska/LLM_Fine_Tuning_Molecular_Properties

📕 Paper: https://chemrxiv.org/engage/api-gateway/chemrxiv/assets/orp/resource/item/65030b55b338ec988a780108/original/chem-ber-ta-2-fine-tuning-for-molecule-s-hiv-replication-inhibition-prediction.pdf

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

https://t.iss.one/DataScienceT

👍12❤2

2.56K views14:24

Data Science | Machine Learning with Python for Researchers

🦙 LLaVA: Large Language and Vision Assistant

git clone https://github.com/haotian-liu/LLaVA.git
cd LLaVA

🖥 Github: https://github.com/haotian-liu/LLaVA

📕 Paper: https://arxiv.org/pdf/2309.09958v1.pdf

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

https://t.iss.one/DataScienceT

👍7❤2

2.47K views06:40

Data Science | Machine Learning with Python for Researchers

LLMKE

🖥 Github: https://github.com/bohuizhang/llmke

📕 Paper: https://arxiv.org/pdf/2309.08491v1.pdf

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

https://t.iss.one/DataScienceT

👍6❤3

2.55K views06:45

Data Science | Machine Learning with Python for Researchers

⛓️🛠️ ChainForge: A Visual Toolkit for Prompt Engineering and LLM Hypothesis Testing

pip install chainforge

🖥 Github: https://github.com/ianarawjo/ChainForge

⭐️ Project: https://chainforge.ai

📕 Paper: https://arxiv.org/abs/2309.09128v1

https://t.iss.one/DataScienceT

👍2❤1

2.37K views09:16

Data Science | Machine Learning with Python for Researchers

😠 GPTFUZZER : Red Teaming Large Language Models with Auto-Generated Jailbreak Prompts

Fuzzer maintains over 90% attack success rate against ChatGPT and Llama-2 models.

🖥 Github: https://github.com/sherdencooper/gptfuzz

📕 Paper: https://arxiv.org/abs/2309.10253v1

⏩ Dataset: https://sites.google.com/view/llm-jailbreak-study

https://t.iss.one/DataScienceT

❤2👍1

2.58K views11:16

Data Science | Machine Learning with Python for Researchers

Distillation-in-dg

🖥 Github: https://github.com/vorobeevich/distillation-in-dg

📕 Paper: https://arxiv.org/pdf/2309.11446v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/office-home

https://t.iss.one/DataScienceT

❤2👍2

2.66K views16:55

Data Science | Machine Learning with Python for Researchers

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2.4K views20:28

Data Science | Machine Learning with Python for Researchers

📊 PAMS: Platform for Artificial Market Simulations

Artificial market simulation is a multi-agent simulation and run virtual markets on your computer.

$ pip install pams

🖥 Github: https://github.com/masanorihirano/pams

📕 Paper: https://arxiv.org/abs/2309.10729v1

⏩ Docs: https://pams.hirano.dev/

https://t.iss.one/DataScienceT

❤3👍2

2.6K views05:46

Data Science | Machine Learning with Python for Researchers

LongLoRA: Efficient Fine-tuning of Long-Context Large Language Models

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

📕 Paper: https://arxiv.org/pdf/2309.12307v1.pdf

🔥 Dataset: https://paperswithcode.com/dataset/pg-19

https://t.iss.one/DataScienceT

❤2😍1

2.26K viewsedited 11:24

Data Science | Machine Learning with Python for Researchers

🎓 BayesDLL: Bayesian Deep Learning Library

New Bayesian neural network library for PyTorch for large-scale deep network

🖥 Github: https://github.com/samsunglabs/bayesdll

📕 Paper: https://arxiv.org/abs/2309.12928v1

⭐️ Dataset: https://paperswithcode.com/dataset/oxford-102-flower

https://t.iss.one/DataScienceT

❤4👍4

2.73K views14:20

Data Science | Machine Learning with Python for Researchers

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Data Science | Machine Learning with Python for Researchers