Stars
State-of-the-art model for person re-identification in Multi-camera Multi-Target Tracking. Benchmarked on Market-1501 and DukeMTMTC-reID datasets.
fast-stable-diffusion + DreamBooth
Slides and code for re:Invent conference
shuangyichen / FedML
Forked from FedML-AI/FedMLA Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning works…
Robust Secure Federated Learning through MPHE
A directory of companies, people, and projects that are Open Source and from Toronto
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Fast and flexible image augmentation library. Paper about the library: https://www.mdpi.com/2078-2489/11/2/125
A Keras implementation of YOLOv3 (Tensorflow backend)
A Keras implementation of YOLOv4 (Tensorflow backend)
Training and Detecting Objects with YOLO3
Tensorflow 1.15 implementation of BSP-NET, along with other scripts used in our paper.
The Implementation of paper "Controllable Person Image Synthesis with Attribute-Decomposed GAN" CVPR 2020 (Oral); Pose and Appearance Attributes Transfer;
In this AWS Machine Learning Specialty Course, You will gain first-hand experience on how to train, optimize, deploy, and integrate ML in AWS cloud. Learn how to use AWS Built-in SageMaker algorith…
Machine Learning Toolkit for Kubernetes
Open source platform for the machine learning lifecycle
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Cool links & research papers related to Machine Learning applied to source code (MLonCode)
Why ReLU networks yield high-confidence predictions far away from the training data and how to mitigate the problem [CVPR 2019, oral]
repository to research & share the machine learning articles
This is the Perl source code that generates my vanity webpage (hosted at rickumali.com).
An Open Source Machine Learning Framework for Everyone
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
Using SSD 300 example included in ChainerCV, we will detect objects of handwritten graphics.