🖥 One Transformer Can Understand Both 2D & 3D Molecular Data

git clone https://github.com/lsj2408/Transformer-M.git

⚙️ Github
📋 Paper
📌 Dataset

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🖥 GLM-130B: An Open Bilingual Pre-trained Model

bidirectional dense model with 130 billion parameters, pre-trained using the algorithm of General Language Model (GLM).

⚙️ Github
📋 Paper
➡️ Model
➡️ Demo
📌 Dataset

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🖥 Leveraging Instance Features for Label Aggregation in Programmatic Weak Supervision

git clone https://github.com/JieyuZ2/wrench.git

⚙️ Github
📋 Paper
➡️ Blog
📌 Dataset

@ai_machinelearning_big_data

🖥 SpeechUT: Bridging Speech and Text with Hidden-Unit for Encoder-Decoder Based Speech-Text Pre-training

SpeechT5 framework that explores the encoder-decoder pre-training for self-supervised speech/text representation learning

⚙️ Github
📋 Paper
➡️ Open SLR
📌 Dataset

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🔩 ExtEnD: Extractive Entity Disambiguation

⚙️ Github
➡️ Demo
📋 Paper
📌 Dataset

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🖥 Map-free Visual Relocalization: Metric Pose Relative to a Single Image

⚙️Github: https://github.com/nianticlabs/map-free-reloc

📄Paper: https://arxiv.org/abs/2210.05494v1

↪️ Project: https://research.nianticlabs.com/mapfree-reloc-benchmark

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

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🖥 Bayesian Optimisation & Reinforcement Learning Research

pip install HEBO

⚙️Github: https://github.com/huawei-noah/HEBO

🗒 Docs: https://hebo.readthedocs.io/en/latest/

🖥 T-LBO: https://github.com/huawei-noah/HEBO/blob/master/T-LBO

↪️ Reinforcement Learning Research : https://github.com/huawei-noah/HEBO/tree/master/SAUTE

@ai_machinelearning_big_data

🖥 PDEBENCH: An Extensive Benchmark for Scientific Machine Learning

🖥 Github: https://github.com/pdebench/pdebench

🗒 Paper: https://arxiv.org/abs/2210.07182v1

⚙️ Dataset https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-2986

↪️ Pre-Trained Models : https://darus.uni-stuttgart.de/dataset.xhtml?persistentId=doi:10.18419/darus-2987

@ai_machinelearning_big_data

🟡 Benchmarking ML for MD simulation

Molecular dynamics simulation with machine learning force fields.

⚙️ Github: https://github.com/kyonofx/mdsim

🗒 Paper: https://arxiv.org/abs/2210.07237v1

🖥 Guide: https://github.com/kyonofx/mdsim#install-other-dependencies

➡️ Dataset: https://paperswithcode.com/dataset/md17

@ai_machinelearning_big_data

↪️ LAVIS - A Library for Language-Vision Intelligence

LAVIS is a Python deep learning library for LAnguage-and-VISion intelligence research and applications.

git clone https://github.com/salesforce/LAVIS.git
cd LAVIS
pip install .

⚙️ Github: https://github.com/salesforce/lavis

🗒 Paper: https://arxiv.org/abs/2210.08773v1

➡️ Models: https://github.com/salesforce/LAVIS/tree/main/examples

🖥 Docs: https://opensource.salesforce.com/LAVIS//latest/index.html

➡️ Dataset: https://paperswithcode.com/dataset/ok-vqa

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➡️ Towards Realistic Low-resource Relation Extraction: A Benchmark with Empirical Baseline Study

conda create -n knowprompt python=3.8

conda activate knowprompt

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

🗒 Paper: https://arxiv.org/abs/2210.10678v1

➡️ Dataset: https://github.com/zjunlp/KnowPrompt/blob/master/dataset/semeval

@ai_machinelearning_big_data

➡️ MetaFormer Baselines for Vision

🖥 Github: https://github.com/sail-sg/metaformer

🗒 Paper: https://arxiv.org/abs/2210.13452v1

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

@ai_machinelearning_big_data

⭐️DiffusionDB

DiffusionDB is the first large-scale text-to-image prompt dataset.

🖥 Github: https://github.com/poloclub/diffusiondb

🗒 Paper: https://arxiv.org/abs/2210.14896v1

➡️ Dataset: https://huggingface.co/datasets/poloclub/diffusiondb

@ai_machinelearning_big_data