kazarazat

tensorflow

An Open Source Machine Learning Framework for Everyone

scikit-learn

scikit-learn: machine learning in Python

bert

TensorFlow code and pre-trained models for BERT

pytorch-lightning

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

gpt-2

Code for the paper "Language Models are Unsupervised Multitask Learners"

deeplearning4j

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learning using automatic differentiation.

tvm

Open deep learning compiler stack for cpu, gpu and specialized accelerators

examples

Serverless Examples – A collection of boilerplates and examples of serverless architectures built with the Serverless Framework on AWS Lambda, Microsoft Azure, Google Cloud Functions, and more.

saws

A supercharged AWS command line interface (CLI).

Algojammer

An experimental code editor for writing algorithms

thinc

🔮 A refreshing functional take on deep learning, compatible with your favorite libraries

whylogs

An open-source data logging library for machine learning models and data pipelines. 📚 Provides visibility into data quality & model performance over time. 🛡️ Supports privacy-preserving data collection, ensuring safety & robustness. 📈

argon-design-system

Argon - Design System for Bootstrap 4 by Creative Tim

nnvm

lambda-packages

Various popular python libraries, pre-compiled to be compatible with AWS Lambda

massive

Tools and Modeling Code for the MASSIVE dataset

android-play-publisher-api

SLIDE

mesapy

A Fast and Safe Python based on PyPy

riak-python-client

The Riak client for Python.

whylogs-java

Profile and monitor your ML data pipeline end-to-end

Flask-API-Token

This project shows how api developers can add tokens to secure web service/api from extreme abuse by users.

crt

Computational Reading Test

datasetify

Automatically create a dataset of NLP features from a plain text file

EvoAlgorithm

A practice attempt at an efficient evolutionary algorithm. Desired traits are inherited by an offspring.

bert

TensorFlow code and pre-trained models for BERT

handson-ml

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

models

Models and examples built with TensorFlow

NeuroNER

Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.

sklearn_tweets

Unsupervised learning experiment where real time tweets are dynamically labeled by sentiment for training.