wajihullahbaig Goto Github PK

deep-residual-faces

Deep Residual Networks for face recognition

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepneuralnetworks

A pure NUMPY basic implementation of deep neural networks - A copy-paste effort from Matlab (rasmusbergpalm matlab code) to Python

ecom-recommendation-task

Open sourcing a e-commerece recommendation engine task

fingerjetfxose

Fingerprint Feature Extractor; the initial contribution by DigitalPersona is MINEX Compliant (SDK 3F).

fingerjetfxose_vs

FingerJetFXOSE Visual Studio

gist-feature-extractor

gist_python

Re-implantation of GIST in Python

ieee-cis-fraud-detection

Repository for IEEE CIS fraud detection competition on kaggle

image-classification-improvement-task

imbalanced-dataset-sampler

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

imshow-java-opencv

an alternative to imshow() in C++ OpenCV for Java OpenCV

linformer-pytorch

My take on a practical implementation of Linformer for Pytorch. https://arxiv.org/pdf/2006.04768.pdf

machine-learning-collection

A resource for learning about Machine learning & Deep Learning

machine_learning_examples

A collection of machine learning examples and tutorials.

matlab-toolboxes

Contains all my Matlab toolboxes.

mindtct_vs

minutiaenet

Code and models for paper "Robust Minutiae Extractor: Integrating Deep Networks and Fingerprint Domain Knowledge" at International Conference on Biometrics 2018

mnist_gist

Experinmenting with GIST feartures of MNIST dataset

models

Models and examples built with TensorFlow

practical-pytorch

PyTorch tutorials demonstrating modern techniques with readable code

pygist

GIST implementation, written completely in Python.

pytorch-seq2seq

Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.

pytorch_neural_machine_translation_attention

Neural Machine Translation with Attention (PyTorch)

recurrent_neural_net_demo

Recurrent Neural Net Demo code for Build an RNN in 5 Min on Youtube

resnet-matconvnet

Train Deep Residual Network from Scratch or or Fine-tune Pre-trained Model using Matconvnet

scene-completion

A Python Implementation of "Scene Completion Using Millions of Photographs"

talks

A collection of talks and presentations

text-processor-task

A text processing task for NER using Spacy, Summarization using HF, searching summarization using TF-IDF

vae

Implementation of Variational Auto Encoder (VAE) in pytorch using MNIST data