Proximal Stochastic Polyak

🖥 Github: https://github.com/fabian-sp/ProxSPS

⏩ Paper: https://arxiv.org/abs/2301.04935v1

ArtificialIntelligencedl

Tracr: Compiled Transformers as a Laboratory for Interpretability

git clone https://github.com/deepmind/tracr
cd tracr
pip3 install .

🖥 Github: https://github.com/deepmind/tracr

⏩ Paper: https://arxiv.org/abs/2301.05062v1

ArtificialIntelligencedl

✔️ Ankh ☥: Optimized Protein Language Model Unlocks General-Purpose Modelling

🖥 Github: https://github.com/agemagician/Ankh

⏩ Paper: https://arxiv.org/abs/2301.06568v1

ArtificialIntelligencedl

📌 Heterogeneous Multi-Robot Reinforcement Learning

pip install vmas

🖥 Github: https://github.com/proroklab/vectorizedmultiagentsimulator

⏩ Paper: https://arxiv.org/abs/2207.03530

🖥 Colab: https://colab.research.google.com/github/proroklab/VectorizedMultiAgentSimulator/blob/main/notebooks/VMAS_Use_vmas_environment.ipynb

ArtificialIntelligencedl

Cross-Modal Adaptation with Multimodal Models

conda create -n cross_modal python=3.9

🖥 Github: https://github.com/linzhiqiu/cross_modal_adaptation

⏩ Paper: https://arxiv.org/abs/2301.06267v2

➡️ Dataset: https://paperswithcode.com/dataset/esc-50

ArtificialIntelligencedl

Using CycleGANs to Generate Realistic STEM Images for Machine Learning

git clone https://github.com/ClarkResearchGroup/stem-learning.git

🖥 Github: https://github.com/ClarkResearchGroup/stem-learning

⏩ Paper: https://arxiv.org/abs/2301.07743v1

ArtificialIntelligencedl

🖥 Deep BCI SW ver. 1.0 is released.

🖥 Github: https://github.com/DeepBCI/Deep-BCI

⏩ Paper: https://arxiv.org/abs/2301.08448v1

➡️ Project: https://deepbci.korea.ac.kr/

ArtificialIntelligencedl

An Empirical Study of Metrics to Measure Representational Harms in Pre-Trained Language Models

🖥 Github: https://github.com/microsoft/SafeNLP

⏩ Paper: https://arxiv.org/abs/2301.09211v1

➡️ Dataset: https://paperswithcode.com/dataset/https-github-com-microsoft-safenlp

ArtificialIntelligencedl

⚔️ Geometric GNN Dojo

🖥 Github: https://github.com/chaitjo/geometric-gnn-dojo

⏩ Paper: https://arxiv.org/abs/2301.09308v1

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

ArtificialIntelligencedl

A Simple Adaptive Unfolding Network for Hyperspectral Image Reconstruction

🖥 Github: https://github.com/hustvl/saunet

⏩ Paper: https://arxiv.org/abs/2301.10208v1

ArtificialIntelligencedl

Distilling Cognitive Backdoor Patterns within an Image

🖥 Github: https://github.com/HanxunH/CognitiveDistillation

⏩ Paper: https://arxiv.org/abs/2301.10908v1

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

ArtificialIntelligencedl

Koopman neural operator as a mesh-free solver of non-linear partial differential equations

pip install koopmanlab

🖥 Github: https://github.com/koopman-laboratory/koopmanlab

⏩ Paper: https://arxiv.org/abs/2301.10022v1

➡️Dataset: https://drive.google.com/drive/folders/1UnbQh2WWc6knEHbLn-ZaXrKUZhp7pjt-

ArtificialIntelligencedl

🔥 Applied Deep Learning Course

🖥 Github: https://github.com/maziarraissi/Applied-Deep-Learning

⏩ Paper: https://arxiv.org/pdf/2301.11316.pdf

➡️Videos: https://www.youtube.com/playlist?list=PLoEMreTa9CNmuxQeIKWaz7AVFd_ZeAcy4

ArtificialIntelligencedl

🔊 Audio-Visual Segmentation

🖥 Github: https://github.com/opennlplab/avsbench

⏩ Paper: https://arxiv.org/abs/2207.05042

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

📌 Project: https://opennlplab.github.io/AVSBench/

ArtificialIntelligencedl

⭐️ The State of Computer Vision at Hugging Face 🤗

Over 3000 models, and over 100 datasets on the Hugging Face Hub.

Более 3000 моделей компьютерного зрения и более 100 датасетов на Hugging Face Hub.

💨 Topics:
Supported vision tasks and Pipelines
Training your own vision models
Integration with timm
Diffusers
Support for third-party libraries
Datasets

⏩ Code:
HugsVision
Model documentation
Hugging Face notebooks
Hugging Face example scripts
Task pages
Timm

➡️ Computer Vision applications:
Generate 3D voxels from a predicted depth map of an input image
Open vocabulary semantic segmentation
Narrate videos by generating captions
Classify videos from YouTube
Zero-shot video classification
Visual question-answering
Use zero-shot image classification to find best captions for an image to generate similar images

🤗 AutoTrain
AutoTrain
Image classification
Automatic model evaluation

🦾 Zero-shot models
CLIP
OWL-ViT
CLIPSeg
GroupViT
X-CLIP

🚀 Deployment
Deploying TensorFlow Vision Models in Hugging Face with TF Serving
Deploying ViT on Kubernetes with TF Serving
Deploying ViT on Vertex AI
Deploying ViT with TFX and Vertex AI

✅️ Full list

@ai_machinelearning_big_data

NP-Match: When Neural Processes meet Semi-Supervised Learning

🖥 Github: https://github.com/jianf-wang/np-match

⏩ Paper: https://arxiv.org/abs/2301.13569v1

➡️ Dataset: https://paperswithcode.com/dataset/stl-10

ArtificialIntelligencedl

What Makes Good Examples for Visual In-Context Learning?


🖥 Github: https://github.com/zhangyuanhan-ai/visual_prompt_retrieval

⏩ Paper: https://arxiv.org/abs/2301.13670v2

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

ArtificialIntelligencedl

🔥 Dreamix: Video Diffusion Models are General Video Editors

New Google's text-based motion model.

Given a small collection of images showing the same subject, Dreamix can generate new videos with the subject in motion.

Всего из нескольких картинок или ролику новая модель от Google - Dreamix генерирует видео по текстовому описанию!

На видео Dreamix превращает обезьяну в танцующего медведя по промпту «Медведь танцует и прыгает под веселую музыку, двигая всем телом».

⭐️ Project: https://dreamix-video-editing.github.io/

✅️ Paper: https://arxiv.org/pdf/2302.01329.pdf

⭐️ Video: https://www.youtube.com/watch?v=xcvnHhfDSGM

ai_machinelearning_big_data

STEPS: Joint Self-supervised Nighttime Image Enhancement and Depth Estimation (ICRA 2023)

🖥 Github: https://github.com/ucaszyp/steps

⏩ Paper: https://arxiv.org/abs/2302.01334v1

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

ArtificialIntelligencedl

DirectMHP: Direct 2D Multi-Person Head Pose Estimation

🖥 Github: https://github.com/hnuzhy/directmhp

⏩ Paper: https://arxiv.org/abs/2302.01110v1

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

ArtificialIntelligencedl