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dm_env

A Python interface for reinforcement learning environments

Language:PythonApache-2.034000

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

Language:PythonMIT1337000

handout

Turn Python scripts into handouts with Markdown and figures

Language:PythonApache-2.0199900

spacy-transformers

🛸 Use pretrained transformers like BERT, XLNet and GPT-2 in spaCy

Language:PythonMIT133000

lucid

A collection of infrastructure and tools for research in neural network interpretability.

Language:Jupyter NotebookApache-2.0463800

model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

Language:PythonApache-2.0147700

keras-tuner

A Hyperparameter Tuning Library for Keras

Language:PythonApache-2.0283800

knigge

An opinionated way of dealing with behaviours

Language:ElixirMIT10700

ttpy

Python implementation of the TT-Toolbox

Language:PythonMIT23400

Paddle

PArallel Distributed Deep LEarning: Machine Learning Framework from Industrial Practice （『飞桨』核心框架，深度学习&机器学习高性能单机、分布式训练和跨平台部署）

Language:C++Apache-2.02193900

ERNIE

Official implementations for various pre-training models of ERNIE-family, covering topics of Language Understanding & Generation, Multimodal Understanding & Generation, and beyond.

Language:Python626300

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.

Language:PythonNOASSERTION386600

Advanced-Deep-Trading

Mostly experiments based on "Advances in financial machine learning" book

Language:Jupyter Notebook700

Adv_Fin_ML_Exercises

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

Language:Jupyter NotebookMIT168000

set-protocol-contracts

🎛 Set Protocol Smart Contracts

Language:TypeScriptApache-2.021500

agents

TF-Agents: A reliable, scalable and easy to use TensorFlow library for Contextual Bandits and Reinforcement Learning.

Language:PythonApache-2.0276600

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

Language:Jupyter NotebookApache-2.02746100

cos-e

Commonsense Explanations Dataset and Code

Language:PythonBSD-3-Clause14400

pytorchpipe

PyTorchPipe (PTP) is a component-oriented framework for rapid prototyping and training of computational pipelines combining vision and language

Language:PythonApache-2.022500

commanded

Use Commanded to build Elixir CQRS/ES applications

Language:ElixirMIT182500

Pyrlang

Erlang node implemented in Python 3.5+ (Asyncio-based)

Language:PythonApache-2.059300

fastapi

FastAPI framework, high performance, easy to learn, fast to code, ready for production

Language:PythonMIT7414600

keras-bert

Implementation of BERT that could load official pre-trained models for feature extraction and prediction

Language:PythonMIT242900

huskarl

Deep Reinforcement Learning Framework + Algorithms

Language:PythonMIT41500

phoenix-in-action

Code snippets and examples from the book Phoenix in Action from Manning and Geoffrey Lessel

Language:Elixir10500

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

Language:PythonApache-2.0616600

Kervolution

Kervolution implementation using TF2.0

Language:Python2000

text

Making text a first-class citizen in TensorFlow.

Language:C++Apache-2.0121400

deeplearning-models

A collection of various deep learning architectures, models, and tips

Language:Jupyter NotebookMIT1648700

siamese-triplet

Siamese and triplet networks with online pair/triplet mining in PyTorch

Language:PythonBSD-3-Clause308100