Faiz Ul Wahab's Projects
Set up a personal IPSEC VPN in the cloud
This repository implements the the encoder and decoder model with attention model for OCR
:sunglasses: Curated list of awesome lists
A curated list of awesome computer vision resources
A curated list of awesome Python frameworks, libraries, software and resources
Recurrent Neural Network - A curated list of resources dedicated to RNN
A curated list of awesome Torch tutorials, projects and communities
Official source code of Batch Feature Erasing for Person Re-identification and Beyond
An implementation of Cascade R-CNN: Delving into High Quality Object Detection.
Pytorch implementation of OCR system using CRNN + CTCLoss
Domain Adaptive Faster R-CNN in PyTorch
Continually updated data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.
MOT tracking using deepsort yolo3 with pytorch
A Deep Learning based project for colorizing and restoring old images
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
Implementation of DropBlock: A regularization method for convolutional networks in PyTorch.
Robust Face Detection using Dual Shot Face Detection
This is a pytorch re-implementation of EAST: An Efficient and Accurate Scene Text Detector.
Learning Metrics from Teachers: Compact Networks for Image Embedding (CVPR19)
A light-weight, power efficient, and general purpose convolutional neural network
A PyTorch Implementation of FaceBoxes
FCOS: Fully Convolutional One-Stage Object Detection
This repository is for learning and understanding how algorithms work.
Annotated, understandable, and visually interpretable PyTorch implementations of: VAE, BIRVAE, NSGAN, MMGAN, WGAN, WGANGP, LSGAN, DRAGAN, BEGAN, RaGAN, InfoGAN, fGAN, FisherGAN
🖼️ PyTorch implementation of "Learning Fine-grained Image Similarity with Deep Ranking" (arXiv:1404.4661)
Finetuning PreTrained ImageNet Trained Models for Image Classification
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility