Image as Set of Points - ICLR'23 [Oral, Top5%]
🖥 Github: https://github.com/ma-xu/context-cluster
⏩ Paper: https://arxiv.org/abs/2303.01494v1
💨 Dataset: https://paperswithcode.com/dataset/scanobjectnn
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/ma-xu/context-cluster
⏩ Paper: https://arxiv.org/abs/2303.01494v1
💨 Dataset: https://paperswithcode.com/dataset/scanobjectnn
https://t.iss.one/DataScienceT
👍5
🔥 Artificial Intelligence for Science (AIRS)
•OpenQM: AI for Quantum Mechanics
•OpenDFT: AI for Density Functional Theory
•OpenMol: AI for Small Molecules
•OpenProt: AI for Protein Science
•OpenMat: AI for Materials Science
•OpenMI: AI for Molecular Interactions
•OpenPDE: AI for Partial Differential Equations
🖥 Github: https://github.com/divelab/AIRS
📕 Paper: https://arxiv.org/abs/2307.08423
⭐️ Website: https://www.air4.science/
📌 Dataset: https://paperswithcode.com/dataset/atom3d
t.iss.one/DataScienceT
•OpenQM: AI for Quantum Mechanics
•OpenDFT: AI for Density Functional Theory
•OpenMol: AI for Small Molecules
•OpenProt: AI for Protein Science
•OpenMat: AI for Materials Science
•OpenMI: AI for Molecular Interactions
•OpenPDE: AI for Partial Differential Equations
🖥 Github: https://github.com/divelab/AIRS
📕 Paper: https://arxiv.org/abs/2307.08423
⭐️ Website: https://www.air4.science/
📌 Dataset: https://paperswithcode.com/dataset/atom3d
t.iss.one/DataScienceT
❤5👍1
Neural Video Depth Stabilizer (ICCV2023) 🚀🚀🚀
🖥 Github: https://github.com/raymondwang987/nvds
⏩ Paper: https://arxiv.org/pdf/2307.08695v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/wsvd
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/raymondwang987/nvds
⏩ Paper: https://arxiv.org/pdf/2307.08695v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/wsvd
https://t.iss.one/DataScienceT
❤2👍2
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💬 Text2Cinemagraph: Synthesizing Artistic Cinemagraphs from Text
🖥 Github: https://github.com/text2cinemagraph/text2cinemagraph
🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb
📕 Paper: https://arxiv.org/pdf/2307.03190.pdf
🚀 Project: https://text2cinemagraph.github.io/website/
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/text2cinemagraph/text2cinemagraph
🖥 Colab: https://colab.research.google.com/github/camenduru/AnimateDiff-colab/blob/main/AnimateDiff_colab.ipynb
📕 Paper: https://arxiv.org/pdf/2307.03190.pdf
🚀 Project: https://text2cinemagraph.github.io/website/
https://t.iss.one/DataScienceT
❤1
🔥 Llama 2: Open Foundation and Fine-Tuned Chat Models
Llama 2 collection of pretrained and fine-tuned large language models (LLMs).
🖥 Github: https://github.com/facebookresearch/llama
⭐️ Demo: https://huggingface.co/blog/llama2
🤗Hugging face: https://huggingface.co/meta-llama/Llama-2-70b
📕 Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
https://t.iss.one/DataScienceT
Llama 2 collection of pretrained and fine-tuned large language models (LLMs).
🖥 Github: https://github.com/facebookresearch/llama
⭐️ Demo: https://huggingface.co/blog/llama2
🤗Hugging face: https://huggingface.co/meta-llama/Llama-2-70b
📕 Paper: https://ai.meta.com/research/publications/llama-2-open-foundation-and-fine-tuned-chat-models/
https://t.iss.one/DataScienceT
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SVDFormer: Complementing Point Cloud via Self-view Augmentation and Self-structure Dual-generator
🖥 Github: https://github.com/czvvd/svdformer
⏩ Paper: https://arxiv.org/pdf/2307.08492v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/shapenet
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/czvvd/svdformer
⏩ Paper: https://arxiv.org/pdf/2307.08492v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/shapenet
https://t.iss.one/DataScienceT
👍4
🌆Censored Sampling of Diffusion Models Using 3 Minutes of Human Feedback
🖥 Github: https://github.com/tetrzim/diffusion-human-feedback
⏩ Paper: https://arxiv.org/pdf/2307.02770v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/tetrzim/diffusion-human-feedback
⏩ Paper: https://arxiv.org/pdf/2307.02770v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/imagenet
https://t.iss.one/DataScienceT
❤4👍2
FLASK: Fine-grained Language Model Evaluation Based on Alignment Skill Sets
🖥 Github: https://github.com/kaistai/flask
⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/kaistai/flask
⏩ Paper: https://arxiv.org/pdf/2307.10928v1.pdf
💨 Dataset: https://paperswithcode.com/dataset/gsm8k
https://t.iss.one/DataScienceT
❤4
Forwarded from Python | Machine Learning | Coding | R
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🐋 FreeWilly, Large And Mighty Instruction Fine-Tuned Models
.
FreeWilly1 and FreeWilly2 set a new standard in the field of open access Large Language Models.
⭐️ Post: https://stability.ai/blog/freewilly-large-instruction-fine-tuned-models
📌 FreeWilly1: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
📌 FreeWilly2: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
https://t.iss.one/DataScienceT
.
FreeWilly1 and FreeWilly2 set a new standard in the field of open access Large Language Models.
⭐️ Post: https://stability.ai/blog/freewilly-large-instruction-fine-tuned-models
📌 FreeWilly1: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
📌 FreeWilly2: https://huggingface.co/stabilityai/FreeWilly1-Delta-SafeTensor
https://t.iss.one/DataScienceT
👍3❤1
↗️ L-Eval: Instituting Standardized Evaluation for Long Context Language Models
Data and code for L-Eval, a comprehensive long context language models evaluation benchmark.
🖥 Github: https://github.com/bshall/urhythmic
🧑💻Model: https://huggingface.co/datasets/L4NLP/LEval
📕 Paper: https://arxiv.org/abs/2307.11088
🚀 Dataset: https://paperswithcode.com/dataset/quality
https://t.iss.one/DataScienceT
Data and code for L-Eval, a comprehensive long context language models evaluation benchmark.
🖥 Github: https://github.com/bshall/urhythmic
🧑💻Model: https://huggingface.co/datasets/L4NLP/LEval
📕 Paper: https://arxiv.org/abs/2307.11088
🚀 Dataset: https://paperswithcode.com/dataset/quality
https://t.iss.one/DataScienceT
👍3❤1
⭐️ CNOS: A Strong Baseline for CAD-based Novel Object Segmentation
Three-stage approach to segment unseen objects in RGB images using their CAD models.
🖥 Github: https://github.com/nv-nguyen/cnos
📕 Paper: https://arxiv.org/abs/2307.11067
🚀 Dataset: https://bop.felk.cvut.cz/datasets/
https://t.iss.one/DataScienceT
Three-stage approach to segment unseen objects in RGB images using their CAD models.
🖥 Github: https://github.com/nv-nguyen/cnos
📕 Paper: https://arxiv.org/abs/2307.11067
🚀 Dataset: https://bop.felk.cvut.cz/datasets/
https://t.iss.one/DataScienceT
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200 Udacity FREE Courses on Machine Learning and Data Science!
https://www.mltut.com/udacity-free-courses-on-machine-learning/
https://t.iss.one/CodeProgrammer
https://www.mltut.com/udacity-free-courses-on-machine-learning/
https://t.iss.one/CodeProgrammer
❤🔥3👍3🏆3
🗣 DialogStudio: Towards Richest and Most Diverse Unified Dataset Collection and Instruction-Aware Models for Conversational AI.
🖥 Github: https://github.com/salesforce/DialogStudio
📕 Paper: https://arxiv.org/abs/2307.10172v2
🔥 Dataset: https://paperswithcode.com/dataset/dialogstudio
https://t.iss.one/DataScienceT
🖥 Github: https://github.com/salesforce/DialogStudio
📕 Paper: https://arxiv.org/abs/2307.10172v2
🔥 Dataset: https://paperswithcode.com/dataset/dialogstudio
https://t.iss.one/DataScienceT
👍4❤2