rohitkeshari Goto Github PK

deep_lda

Implementation of Deep Linear Discriminant Analysis (DeepLDA)

deeplearning_exp

deeplearning_workshop

deformable-convnets

Deformable Convolutional Networks

delf-pytorch

PyTorch Implementation of "Large-Scale Image Retrieval with Attentive Deep Local Features"

devol

Automated deep neural network design via genetic programming

disentangling-disentanglement

dl-colab-notebooks

Try out deep learning models online on Google Colab

docker-tensorflow-builder

Docker images to compile TensorFlow yourself.

dropouts

PyTorch Implementations of Dropout Variants

embarrsingly-simple-zero-shot-learning

This is a started/demo code for Zero-Shot-Learning via implementation of Embarrassingly simple ZSL

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fewshotpapers

This repository contains few-shot learning (FSL) papers mentioned in our FSL survey.

handong1587.github.io

handout

Turn Python scripts into handouts with Markdown and figures

hybridnets

HybridNets: End-to-End Perception Network

imagenet32_scripts

Scripts for Imagenet 32 dataset

imagenetv2

A new test set for ImageNet

information-theory-deep-learning

Resources and Implementations (PyTorch) for Information Theoretical concepts in Deep Learning

insightface

Face Analysis Project on MXNet

keras_lookahead

lookahead optimizer for keras

kind-pytorch-tutorial

Kind PyTorch Tutorial for beginners

kornia

Open Source Differentiable Computer Vision Library for PyTorch

learningtocompare_zsl

PyTorch code for CVPR 2018 paper: Learning to Compare: Relation Network for Few-Shot Learning (Zero-Shot Learning part)

leveraging-crowdsourced-gps-data-for-road-extraction-from-aerial-imagery

The source code of CVPR 2019 paper "Leveraging Crowdsourced GPS Data for Road Extraction from Aerial Imagery"

lookahead.pytorch

lookahead optimizer (Lookahead Optimizer: k steps forward, 1 step back) for pytorch

mae-annotation

MAE is a lightweight, general-purpose natural language annotation tool

maml

Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"

ml-cheatsheet

Machine learning cheatsheet

ml-from-scratch

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.