💻 DaisyRec 2.0: Benchmarking Recommendation for Rigorous Evaluation

DaisyRec-v2.0 is a Python toolkit developed for benchmarking top-N recommendation task.

Github: https://github.com/recsys-benchmark/daisyrec-v2.0

Command Generator : http://daisyrecguicommandgenerator.pythonanywhere.com/

Paper: https://arxiv.org/abs/2206.10848v1

Tutorial: https://github.com/recsys-benchmark/DaisyRec-v2.0/blob/main/DaisyRec-v2.0-Tutorial.ipynb

@ArtificialIntelligencedl

Frequency Dynamic Convolution-Recurrent Neural Network (FDY-CRNN) for Sound Event Detection

Frequency Dynamic Convolution applied kernel that adapts to each freqeuncy bin of input, in order to remove tranlation equivariance of 2D convolution along the frequency axis.

Github: https://github.com/frednam93/FDY-SED

Paper: https://arxiv.org/abs/2206.11645v1

Dataset: https://paperswithcode.com/dataset/desed

@ArtificialIntelligencedl

🌅 Retrosynthetic Planning with Retro*

graph-based search policy that eliminates the redundant explorations of any intermediate molecules.

Github: https://github.com/binghong-ml/retro_star

Paper: https://arxiv.org/abs/2206.11477v1

Dataset: https://www.dropbox.com/s/ar9cupb18hv96gj/retro_data.zip?dl=0

@ArtificialIntelligencedl

DDPM-CD: Remote Sensing Change Detection using Denoising Diffusion Probabilistic Models

Github: https://github.com/wgcban/ddpm-cd

Project: https://www.wgcban.com/research#h.ar24vwqlm021

Paper: https://arxiv.org/abs/2206.11892

Dataset: https://paperswithcode.com/dataset/fmow

@ArtificialIntelligencedl

SETR - Pytorch

Github: https://github.com/920232796/setr-pytorch

Paper: https://arxiv.org/abs/2206.11520v1

Dataset: https://www.kaggle.com/c/carvana-image-masking-challenge/data

@ArtificialIntelligencedl

Complementary datasets to COCO for object detection

Github: https://github.com/aliborji/coco_oi

Paper: https://arxiv.org/abs/2206.11473v1

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

@ArtificialIntelligencedl

⚡️ K-CAI NEURAL API

KCAI NEURAL API Keras based neural network API that will allow you to prototype

Github: https://github.com/joaopauloschuler/k-neural-api

Colab: https://colab.research.google.com/github/joaopauloschuler/k-neural-api/blob/master/examples/jupyter/simple_image_classification_with_any_dataset.ipynb

Paper: https://www.researchgate.net/publication/360226228_Grouped_Pointwise_Convolutions_Reduce_Parameters_in_Convolutional_Neural_Networks

Dataset: https://paperswithcode.com/dataset/plantdoc

@ArtificialIntelligencedl

💡 Denoised MDPs: Learning World Models Better Than the World Itself

Github: https://github.com/facebookresearch/denoised_mdp

Project: https://ssnl.github.io/denoised_mdp

Paper: https://arxiv.org/abs/2206.15477v1

Dataset: https://paperswithcode.com/dataset/deepmind-control-suite

@ArtificialIntelligencedl

📲 Forecasting Future World Events with Neural Networks

Github: https://github.com/andyzoujm/autocast

Paper: https://arxiv.org/abs/2206.15474v1

Dataset: https://people.eecs.berkeley.edu/~hendrycks/intervalqa.tar.gz

@ArtificialIntelligencedl

BigBIO: Biomedical Datasets

Currently BigBIO provides support for

more than 120 biomedical datasets
10 languages
Harmonized dataset schemas by task type
Metadata on licensing, coarse/fine-grained task types, domain, and more!

Github: https://github.com/bigscience-workshop/biomedical

Paper: https://arxiv.org/abs/2206.15076v1

Dataset: https://paperswithcode.com/dataset/bioasq

@ArtificialIntelligencedl

🚗 MMFN: Multi-Modal Fusion Net for End-to-End Autonomous Driving

A novel approach to efficiently extract features from vectorized High-Definition (HD) maps and utilize them in the end-to-end driving tasks.

Github: https://github.com/Kin-Zhang/mmfn

Paper: https://arxiv.org/abs/2207.00186v1

Dataset: https://github.com/carla-simulator/leaderboard/issues/81

@ArtificialIntelligencedl

AlphaCode Explained: AI Code Generation

AlphaCode is DeepMind's new massive language model for generating code. It is similar to OpenAI Codex, except for in the paper they provide a bit more analysis. The field of NLP within AI and ML has exploded get a lot more papers all the time. This video can help you understand how AlphaCode works and what some of the key takeaways are.


youtube: https://www.youtube.com/watch?v=t3Yh56efKGI
blog post: https://deepmind.com/blog/article/Competitive-programming-with-AlphaCode
paper: https://storage.googleapis.com/deepmind-media/AlphaCode/competition_level_code_generation_with_alphacode.pdf

PIAFusion: A progressive infrared and visible image fusion network based on illumination aware

Github: https://github.com/Linfeng-Tang/PIAFusion

Paper: https://www.sciencedirect.com/science/article/abs/pii/S156625352200032X

Pytorch: https://github.com/linklist2/PIAFusion_pytorch

@ArtificialIntelligencedl

Disentangling Random and Cyclic Effects in Time-Lapse Sequences

Github: https://github.com/harskish/tlgan

Paper: https://arxiv.org/abs/2207.01413v1

Dataset: https://github.com/harskish/tlgan/blob/master/docs/PREPROC.md

Pre-trained models: https://drive.google.com/drive/folders/1ZA7Gk2OIFI2cANHEHHAm3AdWLMjJCExE?usp=sharing

@ArtificialIntelligencedl

Efficient Spatial-Temporal Information Fusion for LiDAR-Based 3D Moving Object Segmentation

Github: https://github.com/haomo-ai/motionseg3d

Paper: https://arxiv.org/abs/2207.02201v1

Dataset: https://paperswithcode.com/dataset/lidar-mos

@ArtificialIntelligencedl

✨ Tip-Adapter: Training-free Adaption of CLIP for Few-shot Classification

Tip-Adapter is a training-free adaption method for CLIP to conduct few-shot classification.

Github: https://github.com/gaopengcuhk/tip-adapter

Paper: https://arxiv.org/abs/2207.09519v1

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

FAST-VQA: Efficient End-to-end Video Quality Assessment with Fragment Sampling

Github: https://github.com/timothyhtimothy/fast-vqa

Paper: https://arxiv.org/abs/2207.02595v1

Dataset: https://paperswithcode.com/dataset/kinetics

@ArtificialIntelligencedl

Pre-training helps Bayesian optimization too

Github: https://github.com/google-research/hyperbo

Paper: https://arxiv.org/abs/2207.03084v1

Tensorflow Probability : https://www.tensorflow.org/probability

@ArtificialIntelligencedl

🚀 Domain Adaptive Video Segmentation via Temporal Pseudo Supervision

Github: https://github.com/xing0047/tps

Paper: https://arxiv.org/abs/2207.02372v1

Dataset : https://paperswithcode.com/dataset/cityscapesprobability

@ArtificialIntelligencedl

SFNet: Faster, Accurate, and Domain Agnostic Semantic Segmentation via Semantic Flow

Github: https://github.com/lxtGH/SFSegNets

Paper: https://arxiv.org/abs/2207.04415v1

Dataset : https://paperswithcode.com/dataset/idd

@ArtificialIntelligencedl