BigData

🏡 AlphaGardenSim

The simulator implements a custom OpenAI gym reinforcement learning environment for this polyculture farming setup.

Github: https://github.com/berkeleyautomation/alphagarden

Paper: https://arxiv.org/abs/2111.06014v1

Project: https://rieff.jacksonchui.ai/

👉 @bigdata_1

VOLO: Vision Outlooker for Visual Recognition

Github: https://github.com/sail-sg/volo

Paper: https://arxiv.org/abs/2106.13112

👉 @bigdata_1

🔝 SustainBench: Benchmarks for Monitoring the Sustainable Development Goals with Machine Learning

Github: https://github.com/sustainlab-group/sustainbench

Paper: https://arxiv.org/abs/2111.04724v1

Datasets: https://sustainlab-group.github.io/sustainbench/docs/datasets/

👉 @bigdata_1

Cartoon-StyleGan2 🙃 : Fine-tuning StyleGAN2 for Cartoon Face Generation

Github: https://github.com/happy-jihye/Cartoon-StyleGan2

Paper: https://arxiv.org/abs/2106.12445

Colab: https://colab.research.google.com/github/happy-jihye/Cartoon-StyleGan2/blob/main/Cartoon_StyleGAN2.ipynb

👉 @bigdata_1

🔵 BlueFog: Make Decentralized Algorithms Practical for Optimization and Deep Learning

Github: https://github.com/Bluefog-Lib/bluefog

Paper: https://arxiv.org/abs/2111.04287v1

Docs: https://bluefog-lib.github.io/bluefog/performance.html

👉 @bigdata_1

🧠 Tiny CUDA Neural Networks

Github: https://github.com/nvlabs/tiny-cuda-nn

Paper: https://arxiv.org/abs/2106.12372v1

👉 @bigdata_1

👁‍🗨 OCR Post Correction for Endangered Language Texts

Github: https://github.com/shrutirij/ocr-post-correction

Paper: https://arxiv.org/abs/2111.02622v1

Docs: https://shrutirij.github.io/ocr-el/

👉 @bigdata_1

Adversarial poison generation and evaluation

Github: https://github.com/lhfowl/adversarial_poisons

Paper: https://arxiv.org/abs/2106.10807

👉 @bigdata_1

RLCard: A Toolkit for Reinforcement Learning in Card Games

Github: https://github.com/datamllab/rlcard

DouZero: https://github.com/kwai/DouZero

Paper: https://arxiv.org/abs/2106.06135v1

👉 @bigdata_1

Alias-Free Generative Adversarial Networks (StyleGAN3)

Github: https://github.com/pdillis/stylegan3-fun

Paper: https://arxiv.org/abs/2111.02175v1

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

👉 @bigdata_1

LMs for biomedical KG completion

Github: https://github.com/rahuln/lm-bio-kgc

Paper: https://arxiv.org/abs/2106.09700

👉 @bigdata_1

OpenPrompt: An Open-source Framework for Prompt-learning

Github: https://github.com/thunlp/OpenPrompt

Paper: https://arxiv.org/abs/2111.01998v1

👉 @bigdata_1

XCiT: Cross-Covariance Image Transformers

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

Paper: https://arxiv.org/abs/2106.09681v1

👉 @bigdata_1

Bayes-Newton Methods for Approximate Bayesian Inference with PSD Guarantees

Github: https://github.com/AaltoML/BayesNewton

Paper: https://arxiv.org/abs/2111.01721v1

👉 @bigdata_1

Distilling Self-Knowledge From Contrastive Links to Classify Graph Nodes Without Passing Messages

Github: https://github.com/cf020031308/LinkDist

Paper: https://arxiv.org/abs/2106.08541v1

👉 @bigdata_1

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

Github: https://github.com/POSTECH-CVLab/PyTorch-StudioGAN

Paper: https://arxiv.org/abs/2111.01118v1

Dataset: https://paperswithcode.com/dataset/cifar-10

👉 @bigdata_1

Optimal transport in multilayer networks

Github: https://github.com/cdebacco/MultiOT

Paper: https://arxiv.org/abs/2106.07202v1

👉 @bigdata_1

OneFlow is a performance-centered and open-source deep learning framework.

Github: https://github.com/Oneflow-Inc/oneflow

Paper: https://arxiv.org/abs/2110.15032v2

👉 @bigdata_1

Part-aware Panoptic Segmentation

Github: https://github.com/pmeletis/panoptic_parts

Paper: https://arxiv.org/abs/2106.06351v1

Docs: https://panoptic-parts.readthedocs.io/en/stable

👉 @bigdata_1

GoEmotions: A Dataset for Fine-Grained Emotion Classification

Github: https://github.com/google-research/google-research/tree/master/goemotions

Google AI: https://ai.googleblog.com/2021/10/goemotions-dataset-for-fine-grained.html

👉 @bigdata_1