Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

[ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

[ECCV 2018] Compressed models from AMC: AutoML for Model Compression and Acceleration on Mobile Devices.

[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision

A Library for Generative Models

A library for probabilistic modeling, inference, and criticism. Deep generative models, variational inference. Runs on TensorFlow.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Python Library for Probabilistic Graphical Models

LightGBM is a fast, distributed, high performance gradient boosting (GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine le…

Microsoft Distributed Machine Learning Toolkit

PArallel Distributed Deep LEarning

Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more

Caffe: a fast open framework for deep learning.

Parameter server framework for distributed machine learning

Scalable, fast, and lightweight system for large-scale topic modeling

Distributed skipgram mixture model for multisense word embedding

Distributed word embedding

A toolkit for developing and comparing reinforcement learning algorithms.

Playing Flappy Bird Using Deep Reinforcement Learning (Based on Deep Q Learning DQN using Tensorflow)

0.2.x