abhinav-goyal Goto Github PK

adversarial-neural-crypt

Implementation of model described in 'Learning to Protect Communications with Adversarial Neural Cryptography' (Martín Abadi & David G. Andersen, 2016, https://arxiv.org/abs/1610.06918)

aima-pseudocode

Pseudocode descriptions of the algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

aind-planning

aind-simulated_annealing

Jupyter notebook exercise to check your understanding of simulated annealing

artificial-intelligence

awesome-tensorflow

TensorFlow - A curated list of dedicated resources http://tensorflow.org

bytenet-tensorflow

ByteNet for character-level language modelling

capstone

Implementation of the capstone project (SVHN)

chainer

A flexible framework of neural networks for deep learning

chessnut

Python chess model

deepmath

Experiments towards neural network theorem proving

dnc-tensorflow

A TensorFlow implementation of DeepMind's Differential Neural Computers (DNC)

eval_gen

Evaluation code with models for the paper "On the Quantitative Analysis of Decoder-Based Generative Models"

fast-wavenet

Speedy Wavenet generation using dynamic programming :zap:

flappylearning

Program that learns to play Flappy Bird by machine learning (Neuroevolution)

gcn

Implementation of Graph Convolutional Networks in TensorFlow

learning-to-learn

Learning to Learn in TensorFlow

lightgbm

A fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. It is under the umbrella of the DMTK(http://github.com/microsoft/dmtk) project of Microsoft.

mlalgorithms

Minimal and clean examples of machine learning algorithms

oscc

Open Source Car Control 💻🚗🙌

reinforcement-learning

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

s4