elephann

deep-learning-keras-tensorflow

Introduction to Deep Neural Networks with Keras and Tensorflow

mxnet-gluon-tutorial

my simple tutorial for mxnet, a fast deep learning framework

tsDyn

tsDyn

wanqing

罗马主义的《晚清沧海事》

Adversarial-RL

A Project of a Reinforcement Learning course. Simulated competing investment strategies through continuous refinement in a virtual stock market setting. The strategies adjusted weights to different stocks over time to maximize profits.

AE_ts

Auto encoder for time series

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

AI-Crash-Course

AI-Crash-Course, published by Packt

AI_Research_Dynamics

alpha-zero-general

A clean implementation based on AlphaZero for any game in any framework + tutorial + Othello/Gobang/TicTacToe/Connect4

elephann/api-wrapper.r

elephann/ML-HFT

High frequency trading (HFT) framework built for futures using machine learning and deep learning techniques

elephann/neuralforecast

Scalable and user friendly neural :brain: forecasting algorithms for time series data :wavy_dash:

elephann/statsforecast

Forecasting at scale using statistical models.

elephann/Stats_in_Sports_2021

Materials for the Statistics in Sports class for first-year undergrads

elephann/mlforecast

Scalable machine learning based time series forecasting

elephann/hyperstyle

Official Implementation for "HyperStyle: StyleGAN Inversion with HyperNetworks for Real Image Editing" https://arxiv.org/abs/2111.15666

elephann/Python

All Algorithms implemented in Python

elephann/salina

a Lightweight library for sequential learning agents, including reinforcement learning

elephann/dlsa-public

Deep Learning Statistical Arbitrage

elephann/bayesoptbook.github.io

Companion webpage for the book "Bayesian Optimization" by Roman Garnett

elephann/ppuda

Code for Parameter Prediction for Unseen Deep Architectures (NeurIPS 2021)

elephann/kaggle-solutions

🏅 Collection of Kaggle Solutions and Ideas 🏅

elephann/msds621

Course notes for MSDS621 at Univ of San Francisco, introduction to machine learning

elephann/ipca

Instrumented Principal Components Analysis

elephann/Fast-Transformer

An implementation of Fastformer: Additive Attention Can Be All You Need in TensorFlow

elephann/tsfeatures

Calculates various features from time series data. Python implementation of the R package tsfeatures.

elephann/transformers

🤗 Transformers: State-of-the-art Natural Language Processing for Pytorch, TensorFlow, and JAX.

elephann/Fastformer-PyTorch

Unofficial PyTorch implementation of Fastformer based on paper "Fastformer: Additive Attention Can Be All You Need"."

elephann/tf-TabNet

A Tensorflow 2.0 implementation of TabNet.

elephann/python-machine-learning-book-3rd-edition

The "Python Machine Learning (3rd edition)" book code repository

elephann/paired

PAIRED in PyTorch 🔥

elephann/Tensorflow-2-Reinforcement-Learning-Cookbook

Tensorflow 2 Reinforcement Learning Cookbook, published by Packt

elephann/torch

R Interface to Torch

elephann/tsai

Time series Timeseries Deep Learning Pytorch fastai - State-of-the-art Deep Learning with Time Series and Sequences in Pytorch / fastai

elephann/tianshou

An elegant PyTorch deep reinforcement learning library.

elephann/tab-transformer-keras

Implementation of TabTransformer, attention network for tabular data, in Keras

elephann/saint-1

Unofficial implementation of SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pretraining https://arxiv.org/abs/2106.01342

elephann/TransfoTF

A personal open source implementation of transformers in Tensorflow 2 with some improvements found on the Internet (sometimes updated). Created in 07/2021 by Valentin Goldité

elephann/torch_gnn

A PyTorch implementation of the Graph Neural Network Model (GNN)