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AutoGPT

AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

SC2Net

SC2Net: Learning Sparse Coding Through Sparse LSTM

DeepFashion2

DeepFashion2 Dataset https://arxiv.org/pdf/1901.07973.pdf

Sphereface-Ms-celeb-1M

Face Recognition Using A-Softmax_loss on light cleaned Ms_celeb-1M dataset

Image-based-product-recommendation-system

System that recommends products based on the uploaded image and suggest complementary products along with it.

munkres_sparse

Summary: Kuhn-Munkres algorithm for the Assignment Problem with an incomplete cost matrix.

ganomaly

GANomaly: Semi-Supervised Anomaly Detection via Adversarial Training

AnoGAN-tf

Unofficial Tensorflow Implementation of AnoGAN (Anomaly GAN)

3D-ResNets

3D ResNets for Action Recognition

baselines

OpenAI Baselines: high-quality implementations of reinforcement learning algorithms

TemporalConvolutionalNetworks

gpu_flow

GPU based optical flow extraction in OpenCV

kinetics-downloader

Download DeepMind's Kinetics dataset.

sports-1m-dataset

Automatically exported from code.google.com/p/sports-1m-dataset

charades-algorithms

Activity Recognition Algorithms for the Charades Dataset

kinetics-i3d

Convolutional neural network model for video classification trained on the Kinetics dataset.

DDPG

Reimplementation of DDPG(Continuous Control with Deep Reinforcement Learning) based on OpenAI Gym + Tensorflow

learning-to-learn

Learning to Learn in TensorFlow

pyswarms

A research toolkit for particle swarm optimization in Python

gcForest

This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'

zhusuan

A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow

openqasm

Quantum assembly language for extended quantum circuits

LightGBM

A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks.

gpr

Gaussian process regression

Gaussian-Process-Regression

Implementation of Gaussian Process Regression in Python

LaTeX2Word-Equation

Copy LaTeX Equations as Word Equations, a Chrome Extension

xgboost

Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C++ and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow

A3C

Deep reinforcement learning using an asynchronous advantage actor-critic (A3C) model.

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction