Accessible large language models via k-bit quantization for PyTorch.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

MusicTransformer written for MaestroV2 using the Pytorch framework for music generation

NumPy and Tensorflow implementation of the Multidimensional Contrast Limited Adaptive Histogram Equalization (MCLAHE) procedure

Kaggle Python docker image

A toolkit for making real world machine learning and data analysis applications in C++

Porting of Dlib's mmod deep learning face detector model to pytorch, and examples of using it for webcam detection, and face haluciniations

Pretrained Pytorch face detection (MTCNN) and facial recognition (InceptionResnet) models

A set of scripts to convert dlib's face recognition network to tensorflow, keras, onnx etc

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Face detection using yolov5

Most popular metrics used to evaluate object detection algorithms.

Human Detection using HOG-Linear SVM in Python

Person Detection using HOG Feature and SVM Classifier

mean Average Precision - This code evaluates the performance of your neural net for object recognition.

[NeurIPS 2020] Official code for the paper "DeepSVG: A Hierarchical Generative Network for Vector Graphics Animation". Includes a PyTorch library for deep learning with SVG data.

Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)

A PyTorch implementation of L-BFGS.

PyTorch implementation of the U-Net for image semantic segmentation with high quality images

Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

95.47% on CIFAR10 with PyTorch

DSOD: Learning Deeply Supervised Object Detectors from Scratch. In ICCV 2017.

PyTorch implementation of several SSD based object detection algorithms.