Newest releases
DC3: A Learning Method for Optimization with Hard Constraints
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Very recently, a variety of vision transformer architectures for dense prediction tasks have been proposed and they show that the design of spatial attention is critical to their success in these tasks
Text classification tasks are most easily encountered in the area of natural language processing and can be used in various ways.
Collection of contributions to and resources for the first #30DayChartChallenge in April 2021
A python script (along with instructions) to display the locations of all the peers your qBittorrent client is connected to in a Grafana worldmap dashboard.
[CVPR 2021] Unsupervised 3D Shape Completion through GAN Inversion
cryptgeon is an secure, open source sharing note service inspired by PrivNote
An Easy-to-use, Modular and Prolongable package of deep-learning based Named Entity Recognition Models.
We all enjoy being part of tech (and non-tech) communities to learn, teach and share the things we know and want to know 🤓 . Here is a curated list of LATAM tech communities, organized by country > platform (Slack/Discord/Meetup/
Bot para automatizacao de registros no Vacivida para o COVID19
This project provides the implementation for the CVPR 2021 paper "Scale-aware Automatic Augmentation for Object Detection". Scale-aware AutoAug provides a new search space and search metric to find effective data agumentation poli
A pytorch reprelication of the model-based reinforcement learning algorithm MBPO
This repo consists of tools and documentation of the BitClout.com node API which was reverse-engineered prior to the release of such source code.
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This bot downloads and sends the audio when someone send a YouTube/SoundCloud/MixCloud link in the specified chats, there is a command /ping which makes the bot reply with a "ping" for checking if the bot is running.
CDIoU and CDIoU loss is like a convenient plug-in that can be used in multiple models. CDIoU and CDIoU loss have different excellent performances in several models such as Faster R-CNN, YOLOv4, RetinaNet and . There is a maximum A
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Lightweight library for providing filtering mechanism for your APIs using SQLAlchemy
Prototype of automated store (Machine Learning + Color and Shape detection)
It was an Unbelievable WeekEnd For me as I won Challenges#3 in UmojaHack Africa 2021 with my amazing Teammate @ASSAZZIN. this repository contains Code Solutions on how to get Top1 Place in Financial Resilience Challenge . Enjoy !
Log and view requests made on your Django App
These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.
SeqIO is a library for processing sequential data to be fed into downstream sequence models. It uses tf.data.Dataset to create scalable data pipelines but requires minimal use of TensorFlow. In particular, with one line of code, t
Mixed precision training [0] is a technique that mixes the use of full and half precision floating point numbers during training to reduce the memory bandwidth requirements and improve the computational efficiency of a given model
Minimalistic open-source library for metric learning written in TensorFlow2, TF-Addons, Numpy, OpenCV(CV2) and Annoy. This repository contains a TensorFlow2+/tf.keras implementation some of the loss functions and miners. This repo
Document Text Recognition (DocTR) made seamless, high-performing & accessible to anyone using Deep Learning for OCR-related tasks.
A GPU-optional modular synthesizer in pytorch, 16200x faster than realtime, for audio ML researchers.
All the goto functions you need to handle NLP use-cases, integrated in NLPretext
A curated list of awesome resources for semantic understanding of aerial scene, e.g. tutorials, papers, books, datasets, libraries and software.
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T-Rex is a versatile cryptocurrency mining software. It supports a variety of algorithms and we, as developers, are trying to do our best to make it as fast and as convenient to use as possible.
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Pupil is a project in active, community driven development. Pupil Core mobile eye tracking hardware is accessible, hackable, and affordable. The software is open source and written in Python and C++ when speed is an issue.
BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation
Official PyTorch implementation for Generic Attention-model Explainability for Interpreting Bi-Modal and Encoder-Decoder Transformers, a novel method to visualize any Transformer-based network. Including examples for DETR, VQA.
TorchShard is a lightweight engine for slicing a PyTorch tensor into parallel shards. It can reduce GPU memory and scale up the training when the model has massive linear layers (e.g., ViT, BERT and GPT) or huge classes (millions
