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DSPy: The framework for programming—not prompting—language models
This repository contains implementations and illustrative code to accompany DeepMind publications
Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"
Torchreid: Deep learning person re-identification in PyTorch.
Repository for the Face Recognition Vendor Test (FRVT)
A Tensorflow implementation of CapsNet(Capsules Net) in paper Dynamic Routing Between Capsules
Here you can get all the Quantum Machine learning Basics, Algorithms ,Study Materials ,Projects and the descriptions of the projects around the web
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Optimizing Mobile Deep Learning on ARM GPU with TVM
This is a fast caffe implementation of ShuffleNet.
Deep Learning tutorials in jupyter notebooks.
The world's simplest facial recognition api for Python and the command line
Integration of TensorFlow with other open-source frameworks
collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning
Image-to-Image Translation in PyTorch
PyTorch Implementation of CycleGAN and SSGAN for Domain Transfer (Minimal)
Person Search with Natural Language Description
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
PyTorch implementation of Deformable Convolution
The Compute Library is a set of computer vision and machine learning functions optimised for both Arm CPUs and GPUs using SIMD technologies.
A chainer implementation of Memory Augmented Neural Network
A technical report on convolution arithmetic in the context of deep learning
Pixel-wise segmentation on VOC2012 dataset using pytorch.
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.