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3d-convolution-nn-for-low-dose-ct-scans

Kaggle Data Science Bowl 2017 :Using a data set of thousands of high-resolution lung scans provided by the National Cancer Institute, participants will develop algorithms that accurately determine when lesions in the lungs are cancerous.

adaptivesfm

Adaptive State-Frequency Memory Recurrent Neural Network

adv_fin_ml_exercises

Experimental solutions to selected exercises from the book [Advances in Financial Machine Learning by Marcos Lopez De Prado]

advance-machine-learning

awesome-architecture-search

A curated list of awesome architecture search resources

awesome-production-machine-learning

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

capsgnn

A PyTorch implementation of "Capsule Graph Neural Network" (ICLR 2019).

capsule-net-mnist

Non optimized Capsule Net for mnist using Keras with XifengGuo model

clozapine-regression-using-mlpregressor

Clozapine concentration regression

ctgan-tf

📊 TensorFlow 2.X implementation of Conditional Tabular Generative Adversarial Network.

darts

Differentiable architecture search for convolutional and recurrent networks

deep-learning-bootcamp

My implementation for some topics in deep learning bootcamp by Bayesianio

deep-learning-drizzle

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

deep_trader

This project uses reinforcement learning on stock market and agent tries to learn trading. The goal is to check if the agent can learn to read tape. The project is dedicated to hero in life great Jesse Livermore.

enas-pytorch

PyTorch implementation of "Efficient Neural Architecture Search via Parameters Sharing"

enas-tensorflow

Efficient Neural Architecture search via parameter sharing(ENAS) micro search Tensorflow code for windows user

ensembling-models-for-titanic

a very basic and simple introductory primer to the method of ensembling (combining) base learning models, in particular the variant of ensembling known as Stacking.

free-programming-books

:books: Freely available programming books

gym-trading

Environment for reinforcement-learning algorithmic trading models

hands-on-meta-learning-with-python

Learning to Learn using One-Shot Learning, MAML, Reptile, Meta-SGD and more with Tensorflow

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

kaggle-fraud-detection

My code using ANN MLP with TF-GPU

keras-deep-graph-learning

Welcome to Keras Deep Learning on Graphs (Keras-DGL) http://vermaMachineLearning.github.io/keras-deep-graph-learning

memory-augmented-neural-network---oneshot-learning

An implementation of the Neural Turing Machine as a keras recurrent layer.

mlfinlab

MlFinlab helps portfolio managers and traders who want to leverage the power of machine learning by providing reproducible, interpretable, and easy to use tools.

mlhep2018-starterkit

Starter kit for MLHEP-18 challenge

n-beats

Pytorch/Keras implementation of N-BEATS: Neural basis expansion analysis for interpretable time series forecasting.

neuralturingmachine

Tensorflow implementation of a Neural Turing Machine

parlai

A framework for training and evaluating AI models on a variety of openly available dialogue datasets.

point_in_contour

My implementation for point in contour