ahmedhani Goto Github PK

mona-lisa-using-genetic-algorithms

neural-network-package

A package that contains multiple number of Artificial Neural Network types, supported with many learning algorithms to train the network.

neural-networks-for-ml

A repository for Neural Networks for Machine Learning course tutored by Geoffrey Hinton

nlpeus

A training playground for several Natural Language Processing research projects

nn-plus-plus

Neural Networks in C++. Because I feel boredom.

numerical-linear-algebra

This course contains the notebooks for the Numerical Linear Algebra elective in USF's MSAN program, summer 2017

online-judges-problems-sourcecode

My solutions for different acm-style problems on various online judges. Solutions are written in C++, C, Java and Python.

papers-i-read

Papers I read that you maybe interested in. The repository contains summaries and notes about each paper I read. The original idea is taken from https://github.com/shagunsodhani/papers-I-read

parallel-programming

Parallel programs implemented using MPI and OpenMP.

paraphrase_identification_task

Examine two sentences and determine whether they have the same meaning.

particle-swarm-optimization

This is an implmentation of a natural swarm system to solve a 2-dimensional function using the idea of birds flock.

polygons

Polygon geometrical operations in a savage c++ design and implementation.

pwc

Papers with code. Sorted by stars. Updated weekly.

pygcn

Graph Convolutional Networks in PyTorch

pymir

Music IR Library for Python

pyprobml

Python code for "Machine learning: a probabilistic perspective"

pyswarmoptimization

A Python package that implements some of swarm optimization algorithms that are added up together in one package to be used as an API for other projects.

python-design-patterns

Design Patterns implemented in Python. The patterns are from Design Patterns Explained book.

python-neural-networks-api

A Python API that contains implementation for various types of Artificial Neural Networks, supported with multiple learning algorithms

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

pytorch-nlp

Supporting Rapid Prototyping with a Toolkit (incl. Neural Network Layers and Datasets)

pytorch-pretrained-bert

📖The Big-&-Extending-Repository-of-Transformers: Pretrained PyTorch models for Google's BERT, OpenAI GPT & GPT-2, Google/CMU Transformer-XL.

qan

Deep Q-Networks for Accelerating the Training of Deep Neural Networks, QAN

really-awesome-gan

A list of papers on Generative Adversarial (Neural) Networks

recruitment-tasks

A repository for tasks I made for several recruitment phases with different companies.

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

restricted-boltzmann-machine

A Java implementation for Restricted Boltzmann Machine that is used for features learning in Deep Learning tasks. [Update] The repository moved to private.

reuters-full-data-set

Full dataset of Reuters composed of 8,551,441 news titles, links and timestamps (Jan 2007 - Aug 2016).

seq2seq_examples

A repository for seq2seq models to learn multiple problems.

seqgan

Implementation of Sequence Generative Adversarial Nets with Policy Gradient