Obrianhx's starred repositories
bitsandbytes
Library for 8-bit optimizers and quantization routines.
pytorch-slimming
Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.
pytorch-pruning
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
rethinking-network-pruning
Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
GazeFollowing
Code for ACCV2018 paper 'Believe It or Not, We Know What You Are Looking at!'
Compressed-Transformers
In this repository, we explore model compression for transformer architectures via quantization. We specifically explore quantization aware training of the linear layers and demonstrate the performance for 8 bits, 4 bits, 2 bits and 1 bit (binary) quantization.
Visualizer
assistant tools for attention visualization in deep learning
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
BinaryNet.pytorch
Binarized Neural Network (BNN) for pytorch
landmark-detection
Four landmark detection algorithms, implemented in PyTorch.
pytorch_face_landmark
Fast and accurate face landmark detection library using PyTorch; Support 68-point semi-frontal and 39-point profile landmark detection; Support both coordinate-based and heatmap-based inference; Up to 100 FPS landmark inference speed with SOTA face detector on CPU.
pytorch-cnn-visualizations
Pytorch implementation of convolutional neural network visualization techniques
Attention-Augmented-Conv2d
Implementing Attention Augmented Convolutional Networks using Pytorch
Gaze-Estimation-Papers
"How far that little candle throws his beams! So shines a good deed in a weary world."― William Shakespeare
Image_Segmentation
Pytorch implementation of U-Net, R2U-Net, Attention U-Net, and Attention R2U-Net.
me_recognition
CapsuleNet for Micro-expression Recognition (IEEE FG 2019)
HRNet-Facial-Landmark-Detection
This is an official implementation of facial landmark detection for our TPAMI paper "Deep High-Resolution Representation Learning for Visual Recognition". https://arxiv.org/abs/1908.07919
senet.pytorch
PyTorch implementation of SENet
various_FCM_segmentation
Image segmentation Using Various Fuzzy C-means Algorithms (FCM, EnFCM, MFCM).
FuzzyContrastEnhancer
Enhances contrast of images through fuzzy rules