Computer Science and Programming

16 Nov 2022 08:40

SSL4EO-S12: A Large-Scale Multi-Modal, Multi-Temporal Dataset for Self-Supervised Learning in Earth Observation


The dataset consists of unlabeled patch triplets from 251,079 locations across the globe, each patch covering 2640m x 2640m and including 4 seasonal time stamps.

Github:
https://github.com/zhu-xlab/ssl4eo-s12

Paper:
https://arxiv.org/abs/2211.07044v1

Dataset:
https://mediatum.ub.tum.de/1660427

@computer_science_and_programming

Computer Science and Programming

11 Oct 2022 08:19

Omni3D: A Large Benchmark and Model for 3D Object Detection in the Wild

Paper:
https://arxiv.org/pdf/2207.10660.pdf

Github:
https://github.com/facebookresearch/omni3d

Project page:
https://garrickbrazil.com/omni3d/


@computer_science_and_programming

Computer Science and Programming

23 Sep 2022 13:07

VToonify: Controllable High-Resolution Portrait Video Style Transfer

@computer_science_and_programming

Computer Science and Programming

15 Aug 2022 06:53

Harvard CS109A #DataScience course materials — huge collection free & open!

1. Lecture notes
2. R code, #Python notebooks
3. Lab material
4. Advanced sections
and more ...

https://harvard-iacs.github.io/2019-CS109A/pages/materials.html

@computer_science_and_programming

Computer Science and Programming

25 Jul 2022 12:15

Weakly Supervised Object Localization via Transformer with Implicit Spatial Calibration

learnable parameter to dynamically adjust the semantic correlations and spatial context intensities for effective information propagation.

Github: https://github.com/164140757/scm

Paper: https://arxiv.org/abs/2207.10447v1

Dataset: https://paperswithcode.com/dataset/cub-200-2011

@computer_science_and_programming

Computer Science and Programming

06 Jul 2022 13:43

Prosody Cloning in Zero-Shot Multispeaker Text-to-Speech

IMS Toucan is a toolkit for teaching, training and using state-of-the-art Speech Synthesis models.

Github: https://github.com/DigitalPhonetics/IMS-Toucan
https://github.com/rballester/tntorch

Pre-Generated Audios: https://multilingualtoucan.github.io/

Cloning prosody across speakers: https://toucanprosodycloningdemo.github.io/

Interactive Demo: https://huggingface.co/spaces/Flux9665/IMS-Toucan

Paper: https://arxiv.org/abs/2206.12229v1

@computer_science_and_programming

Computer Science and Programming

17 Jun 2022 06:50

MIT, Introduction to Deep Learning, 2022 Lecture series

Website:
http://introtodeeplearning.com/

Lecture:
https://www.youtube.com/watch?v=7sB052Pz0sQ&list=PLtBw6njQRU-rwp5__7C0oIVt26ZgjG9NI

@computer_science_and_programming

Computer Science and Programming

30 May 2022 13:52

AdaptFormer: Adapting Vision Transformers for Scalable Visual Recognition

Github: https://github.com/ShoufaChen/AdaptFormer

Paper: https://arxiv.org/abs/2205.13535v1

Dataset: https://paperswithcode.com/dataset/something-something-v2

@computer_science_and_programming

Computer Science and Programming

10 May 2022 08:30

🧊 Focal Sparse Convolutional Networks for 3D Object Detection (CVPR 2022, Oral)

Github: https://github.com/dvlab-research/focalsconv

Paper: https://arxiv.org/abs/2204.12463

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

@computer_science_and_programming

Computer Science and Programming

02 Apr 2022 12:46

💬 A Text Attention Network for Spatial Deformation Robust Scene Text Image Super-resolution

Github: https://github.com/mjq11302010044/tatt

Paper: https://arxiv.org/abs/2203.09388v2

Dataset: https://deepchecks.com/blog/

@computer_science_and_programming

Computer Science and Programming

21 Feb 2022 13:09

A lightweight vision library for performing large scale object detection & instance segmentation

Github: https://github.com/obss/sahi

Paper: https://arxiv.org/abs/2202.06934v1

Kaggle notebook: https://www.kaggle.com/remekkinas/sahi-slicing-aided-hyper-inference-yv5-and-yx

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

👉👉@computer_science_and_programming

Computer Science and Programming

18 Jan 2022 03:00

✨ Uniformer: Unified Transformer for Efficient Spatiotemporal Representation Learning

Github: https://github.com/sense-x/uniformer

Paper: https://arxiv.org/abs/2201.04676v1

Tasks: https://paperswithcode.com/dataset/kinetics-600

@computer_science_and_programming

Computer Science and Programming

31 Dec 2021 21:11

Happy new year
Thank you for being with us
We appreciate your patience to science and always try to provide best content for subscribers

Computer Science and Programming

23 Dec 2021 06:45

Dive into Deep Learning

Interactive deep learning book with code, math, and discussions

Implemented with NumPy/MXNet, PyTorch, and TensorFlow

Adopted at 300 universities from 55 countries

Computer Science and Programming

10 Dec 2021 09:14

Object-aware cropping, a simple, fast and highly effective data augmentation alternative to random scene cropping for SELF-SUPERVISED LEARNING

Computer Science and Programming

26 Oct 2022 09:43

You don't need to spend several $𝟭𝟬𝟬𝟬𝘀 to learn Data Science.❌

Stanford University, Harvard University & Massachusetts Institute of Technology is providing free courses.💥

Here's 8 free Courses that'll teach you better than the paid ones:


1. CS50’s Introduction to Artificial Intelligence with Python (Harvard)

https://lnkd.in/d9CkkfGK

2. Data Science: Machine Learning (Harvard)

https://lnkd.in/dQ7zkCv9

3. Artificial Intelligence (MIT)

https://lnkd.in/dG5BCPen

4. Introduction to Computational Thinking and Data Science (MIT)

https://lnkd.in/ddm5Ckk9

5. Machine Learning (MIT)

https://lnkd.in/dJEjStCw

6. Matrix Methods in Data Analysis, Signal Processing, and Machine Learning (MIT)

https://lnkd.in/dkpyt6qr

7. Statistical Learning (Stanford)

https://lnkd.in/dymn4hbD

8. Mining Massive Data Sets (Stanford)

📍https://lnkd.in/d2uf-FkB

@computer_science_and_programming

Computer Science and Programming

23 Sep 2022 13:07

VToonify: Controllable High-Resolution Portrait Video Style Transfer

Github:
https://github.com/williamyang1991/vtoonify

Colab code example
https://colab.research.google.com/github/williamyang1991/VToonify/blob/master/notebooks/inference_playground.ipynb

Paper:
https://arxiv.org/pdf/2209.11224.pdf

Dataset:
https://paperswithcode.com/dataset/faceforensics-1

Video explanation:
https://www.youtube.com/watch?v=0_OmVhDgYuY

@computer_science_and_programming

Computer Science and Programming

05 Sep 2022 08:54

Resources for performing deep learning on satellite imagery:
- Techniques
- Datasets
- ML best Practice
- Courses
and more ...

@computer_science_and_programming

Computer Science and Programming

04 Aug 2022 11:33

UFO: segmentation 140+ FPS

👉Unified Transformer Framework for Co-Segmentation, Co-Saliency & Salient Object Detection. All in one!


𝐇𝐢𝐠𝐡𝐥𝐢𝐠𝐡𝐭𝐬:
✅Unified framework for co-segmentation
✅Co-segmentation, co-saliency, saliency
✅Block for long-range dependencies
✅Able to reach for 140 FPS in inference
✅The new SOTA on multiple datasets

Paper:
https://arxiv.org/pdf/2203.04708v2.pdf

Code:
https://github.com/suyukun666/UFO


@computer_science_and_programming

Computer Science and Programming

15 Jul 2022 11:33

Instance Shadow Detection with A Single-Stage Detector

Deep framework, and an evaluation metric to approach this new task.

Github: https://github.com/stevewongv/InstanceShadowDetection

Instance Shadow Detection: https://github.com/stevewongv/SSIS

Video: https://www.youtube.com/watch?v=p0b_2SsFypw

Colab: https://colab.research.google.com/drive/1y9UpS5uA1YuoMyvYVzcKL4ltA_FDu_x0?usp=sharing

Paper: https://arxiv.org/abs/2207.04614v1

Datasets: https://paperswithcode.com/dataset/soba

@computer_science_and_programming

Computer Science and Programming

27 Jun 2022 09:12

CVPR 2022 open access

All accepted papers list:
https://openaccess.thecvf.com/CVPR2022?day=2022-06-21

@computer_science_and_programming

Computer Science and Programming

07 Jun 2022 08:35

Squeezeformer: An Efficient Transformer for Automatic Speech Recognition

Github: https://github.com/kssteven418/squeezeformer

Paper: https://arxiv.org/abs/2206.00888v1

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

@computer_science_and_programming

Computer Science and Programming

20 May 2022 11:34

RefineMask: Towards High-Quality Instance Segmentation
with Fine-Grained Features (CVPR 2021)

Paper:
https://openaccess.thecvf.com/content/CVPR2021/papers/Zhang_RefineMask_Towards_High-Quality_Instance_Segmentation_With_Fine-Grained_Features_CVPR_2021_paper.pdf

Source:
https://github.com/zhanggang001/RefineMask

@computer_science_and_programming

Computer Science and Programming

21 Apr 2022 09:53

NAFSSR: Stereo Image Super-Resolution Using NAFNet

Github: https://github.com/megvii-research/NAFNet

Paper: https://arxiv.org/abs/2204.08714v1

Demo: https://colab.research.google.com/drive/1dkO5AyktmBoWwxBwoKFUurIDn0m4qDXT?usp=sharing

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

@computer_science_and_programming

Computer Science and Programming

11 Mar 2022 11:24

Reading suggestions to keep you up-to-date with the latest and classic breakthroughs in AI and Data Science.

https://towardsdatascience.com/ai-papers-to-read-in-2022-c6edd4302247

Computer Science and Programming

30 Jan 2022 18:37

323+ Open Source Pytorch Implementation Software Projects
Free and open source pytorch implementation code projects including engines, APIs, generators, and tools.

https://opensourcelibs.com/libs/pytorch-implementation

A curated list of tutorials, papers, projects, communities and more related to PyTorch:

https://www.ritchieng.com/the-incredible-pytorch/

https://github.com/ritchieng/the-incredible-pytorch


@computer_science_and_programming

Computer Science and Programming

09 Jan 2022 21:43

An important collection of the 15 best machine learning cheat sheets.

1- Supervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-supervised-learning.pdf

2- Unsupervised Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-unsupervised-learning.pdf

3- Deep Learning

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-deep-learning.pdf

4- Machine Learning Tips and Tricks

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/cheatsheet-machine-learning-tips-and-tricks.pdf

5- Probabilities and Statistics

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-probabilities-statistics.pdf

6- Comprehensive Stanford Master Cheat Sheet

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/super-cheatsheet-machine-learning.pdf

7- Linear Algebra and Calculus

https://github.com/afshinea/stanford-cs-229-machine-learning/blob/master/en/refresher-algebra-calculus.pdf

8- Data Science Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/PythonForDataScience.pdf

9- Keras Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Keras_Cheat_Sheet_Python.pdf

10- Deep Learning with Keras Cheat Sheet

https://github.com/rstudio/cheatsheets/raw/master/keras.pdf

11- Visual Guide to Neural Network Infrastructures

http://www.asimovinstitute.org/wp-content/uploads/2016/09/neuralnetworks.png

12- Skicit-Learn Python Cheat Sheet

https://s3.amazonaws.com/assets.datacamp.com/blog_assets/Scikit_Learn_Cheat_Sheet_Python.pdf

13- Scikit-learn Cheat Sheet: Choosing the Right Estimator

https://scikit-learn.org/stable/tutorial/machine_learning_map/

14- Tensorflow Cheat Sheet

https://github.com/kailashahirwar/cheatsheets-ai/blob/master/PDFs/Tensorflow.pdf

15- Machine Learning Test Cheat Sheet

https://www.cheatography.com/lulu-0012/cheat-sheets/test-ml/pdf/

@computer_science_and_programming

Computer Science and Programming

23 Dec 2021 06:45

Page: https://d2l.ai/

PyTorch based: https://d2l.ai/d2l-en-pytorch.pdf

MXNET based: https://d2l.ai/d2l-en.pdf

Github: https://github.com/d2l-ai/d2l-en

👉👉@computer_science_and_programming

Computer Science and Programming

10 Dec 2021 09:14

OBJECT-AWARE CROPPING FOR SELF-SUPERVISED LEARNING

Paper:
https://arxiv.org/pdf/2112.00319v1.pdf

Github:
https://github.com/shlokk/object-cropping-ssl

👉👉@computer_science_and_programming

Computer Science and Programming

25 Nov 2021 15:51

Another state-of-the-art archtecture for Vision tasks:

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

Paper: https://arxiv.org/abs/2111.11418

Datasets: ImageNet, COCO, Ade20k

Colab: https://colab.research.google.com/github/sail-sg/poolformer/blob/main/misc/poolformer_demo.ipynb

👉👉@computer_science_and_programming