.@Gradio demo for MMOCR, an open-source toolbox based on PyTorch and mmdetection for text detection, text recognition, and the corresponding downstream tasks including key information extraction on @huggingface Spaces
— AK (@ak92501) March 18, 2022
demo: https://t.co/iXutKDQcDO
github: https://t.co/2CxDTVslSJ pic.twitter.com/v5BFh8xItw
.@Gradio Demo for YOLOX: Exceeding YOLO Series in 2021 on @huggingface Spaces
— AK (@ak92501) March 17, 2022
demo: https://t.co/8iNN2Rhqea
github: https://t.co/rym6pRl10e pic.twitter.com/cBpl9T8akZ
The latest contribution to the Sharpened Cosine Similarity project is a PyTorch Lightning demo from @PSodmann. It shows off the streamlined coding patterns @PyTorchLightnin is famous for.https://t.co/KZUuaOoAF1
— Brandon Rohrer (@_brohrer_) March 12, 2022
All You Need Is Supervised Learning: From Imitation Learning to Meta-RL With Upside Down RL
— AK (@ak92501) February 25, 2022
abs: https://t.co/3oojMrwFuv
github: https://t.co/rTA0BH3QmA pic.twitter.com/lc3Uey4bW0
Visual Attention Network
— AK (@ak92501) February 22, 2022
abs: https://t.co/K0tUUFx3qk
github: https://t.co/wPaXMoXVwL pic.twitter.com/rjMYHrrWgF
SGPT: GPT Sentence Embeddings for Semantic Search
— AK (@ak92501) February 21, 2022
abs: https://t.co/zLqojUmqwl
github: https://t.co/Rj3H5waw2t pic.twitter.com/lNAESbFASS
Anomalib: A Deep Learning Library for Anomaly Detection
— AK (@ak92501) February 18, 2022
abs: https://t.co/iZOYvkTkvR
github: https://t.co/1UHqWHhbnl pic.twitter.com/5aPKTumalB
GPT-NeoX-20B, 20 billion parameter large language model made freely available to public, with candid report on strengths, limits, ecological costs, etc.
— Gary Marcus (@GaryMarcus) February 10, 2022
Genuinely Open AI https://t.co/kwcCtNQiGD
A treasure trove of various variational autoencoders implemented in PyTorch: https://t.co/JoBocYFqpE pic.twitter.com/7fZZ8k4js2
— Sebastian Raschka (@rasbt) February 8, 2022
VRT: A Video Restoration Transformer
— AK (@ak92501) January 31, 2022
abs: https://t.co/Fzxk3gdL8K
github: https://t.co/ILBcaKPogC pic.twitter.com/ONK2GBENck
Implementation of Denoising Diffusion Probabilistic Model in Pytorch https://t.co/xfNQaLjVcK #deeplearning #machinelearning #ml #ai #neuralnetworks #datascience #PyTorch
— PyTorch Best Practices (@PyTorchPractice) January 25, 2022
data2vec: A General Framework for Self-supervised Learning in Speech, Vision and Language
— AK (@ak92501) January 20, 2022
blog: https://t.co/KP0OfddN3O
github: https://t.co/aNp78Sh48v pic.twitter.com/sA02jQpAt1
