Basic Machine Learning

This repository contains a topic-wise curated list of Machine Learning and Deep Learning tutorials, articles and other resources.

Introduction
Interview Resources
Artificial Intelligence
Genetic Algorithms
Statistics
Useful Blogs
Resources on Quora
Resources on Kaggle
Cheat Sheets
Classification
Linear Regression
Logistic Regression
Model Validation using Resampling
- Cross Validation
- Bootstraping
Deep Learning
- Frameworks
- Feed Forward Networks
- Recurrent Neural Nets, LSTM, GRU
- Restricted Boltzmann Machine, DBNs
- Autoencoders
- Convolutional Neural Nets
- Graph Representation Learning
Natural Language Processing
- Topic Modeling, LDA
- Word2Vec
Computer Vision
Support Vector Machine
Reinforcement Learning
Decision Trees
Random Forest / Bagging
Boosting
Ensembles
Stacking Models
VC Dimension
Bayesian Machine Learning
Semi Supervised Learning
Optimizations
Other Useful Tutorials

Introduction

Machine Learning Course by Andrew Ng (Stanford University)

Contributing

Have anything in mind that you think is awesome and would fit in this list? Feel free to send me a pull request!

This is a repo of basic Machine Learning!

Related tags

Overview

Basic Machine Learning

Contents

Introduction

Contributing

Our valuable Contributors 👩‍💻 👨‍💻 :

Owner

Ekram Asif

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

alfred-py: A deep learning utility library for human

Solution to the first stage Quiz of Hamoye internship: Introduction to Python for Machine Learning

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.

This is the official implementation of our proposed SwinMR

Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.

A Simulation Environment to train Robots in Large Realistic Interactive Scenes

A 2D Visual Localization Framework based on Essential Matrices [ICRA2020]

UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac protocols on unmanned aerial vehicle networks.

Implementation for Simple Spectral Graph Convolution in ICLR 2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

Learned Initializations for Optimizing Coordinate-Based Neural Representations

The LaTeX and Python code for generating the paper, experiments' results and visualizations reported in each paper is available (whenever possible) in the paper's directory

Pytorch implementation of

An implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks in PyTorch.

Implementation for paper LadderNet: Multi-path networks based on U-Net for medical image segmentation

Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning

Pytorch implementation of the paper: "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Image Deraining"

Neural network for digit classification powered by cuda

pytorch implementation of dftd2 & dftd3

This is a repo of basic Machine Learning!

Related tags

Overview

Basic Machine Learning

Contents

Introduction

Contributing

Our valuable Contributors 👩‍💻 👨‍💻 :

Owner

Ekram Asif

Learning RGB-D Feature Embeddings for Unseen Object Instance Segmentation

alfred-py: A deep learning utility library for **human**

Solution to the first stage Quiz of Hamoye internship: Introduction to Python for Machine Learning

Hub is a dataset format with a simple API for creating, storing, and collaborating on AI datasets of any size.

This is the official implementation of our proposed SwinMR

Unofficial Alias-Free GAN implementation. Based on rosinality's version with expanded training and inference options.

A Simulation Environment to train Robots in Large Realistic Interactive Scenes

A 2D Visual Localization Framework based on Essential Matrices [ICRA2020]

UAV-Networks-Routing is a Python simulator for experimenting routing algorithms and mac protocols on unmanned aerial vehicle networks.

Implementation for Simple Spectral Graph Convolution in ICLR 2021

P-Tuning v2: Prompt Tuning Can Be Comparable to Finetuning Universally Across Scales and Tasks

Learned Initializations for Optimizing Coordinate-Based Neural Representations

The LaTeX and Python code for generating the paper, experiments' results and visualizations reported in each paper is available (whenever possible) in the paper's directory

Pytorch implementation of

An implementation demo of the ICLR 2021 paper Neural Attention Distillation: Erasing Backdoor Triggers from Deep Neural Networks in PyTorch.

Implementation for paper LadderNet: Multi-path networks based on U-Net for medical image segmentation

Circuit Training: An open-source framework for generating chip floor plans with distributed deep reinforcement learning

Pytorch implementation of the paper: "SAPNet: Segmentation-Aware Progressive Network for Perceptual Contrastive Image Deraining"

Neural network for digit classification powered by cuda

pytorch implementation of dftd2 & dftd3

alfred-py: A deep learning utility library for human