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An efficient modular implementation of Associating Objects with Transformers for Video Object Segmentation in PyTorch
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
Deep Text Scoring in PyTorch: Flexible RNN (LSTM, GRU, etc) model for character sequences
Deep Text Scoring in TensorFlow: Implementation of Hierarchical Attention Network (RNN) model - operates on either character or word sequences
A fast inference library for running LLMs locally on modern consumer-class GPUs
PyTorch and PaddlePaddle implementation of paper "Feature-Proxy Transformer for Few-Shot Segmentation" (NeurIPS 2022)
Deep Learning for HAR: models and tools for Human Activity Recognition from IMU sensor (accelerometer, gyroscope) data
A python library for self-supervised learning on images.
Loyal AI Coding Challenge - Intent Classification
Model parallel transformers in JAX and Haiku
Code for MOVE: Unsupervised Movable Object Segmentation and Detection; NeurIPS 2022
The Photo Search on AWS solution leverages Amazon Rekognition's artificial intelligence (AI) and machine learning (ML) capabilities to search through your library of images and help find the right photos efficiently. The solution allows you to find a right match for a celebrity, politician, CEO, or a field expert from your large library of photogra
code for Medium article on prompt-loss-weight
A fork of xgboost, augmented with Quadratic Weighted Kappa optimization
Object Detection Metrics. 14 object detection metrics: mean Average Precision (mAP), Average Recall (AR), Spatio-Temporal Tube Average Precision (STT-AP). This project supports different bounding box formats as in COCO, PASCAL, Imagenet, etc.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
Tensorflow code for the paper: J. Mueller, D. Gifford, and T. Jaakkola. Sequence to Better Sequence: Continuous Revision of Combinatorial Structures. ICML 2017
SSD: A Unified Framework for Self-Supervised Outlier Detection [ICLR 2021]
TeleSculptor: Aerial Photogrammetry Application powered by KWIVER
This repository contains demos I made with the Transformers library by HuggingFace.
NEW - YOLOv8 🚀 in PyTorch > ONNX > CoreML > TFLite
VICRegL official code base
word2vec skip-gram model implemented in matlab
A utility for generating heatmaps of YOLOv5 using Layerwise Relevance Propagation (LRP/CRP).
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.