ultrons Goto Github PK

advanced_ml_labs

ai-infra-cluster-provisioning

ai-platform-samples

Official Repo for Google Cloud AI Platform

apex

A PyTorch Extension: Tools for easy mixed precision and distributed training in Pytorch

asynchronous-methods-for-deep-reinforcement-learning

Using a paper from Google DeepMind I've developed a new version of the DQN using threads exploration instead of memory replay as explain in here: http://arxiv.org/pdf/1602.01783v1.pdf I used the one-step-Q-learning pseudocode, and now we can train the Pong game in less than 20 hours and without any GPU or network distribution.

atom3d

ATOM3D: tasks on molecules in three dimensions

autokeras

AutoML library for deep learning

automl

Google Brain AutoML

backtobasics

bert

TensorFlow code and pre-trained models for BERT

blog

Public repo for HF blog posts

caffe

Caffe: a fast open framework for deep learning.

cloudml

Image classification with imbalanced dataset. A case study.

cloudml-samples

Cloud ML Engine is now a part of AI Platform

cormorant

Codebase for Cormorant Neural Networks

deeplearningexamples

Deep Learning Examples

diffusers

🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch

dl_tutorial

Tutorials for deep learning

dm-haiku

JAX-based neural network library

dmn-tensorflow

Dynamic Memory Networks (https://arxiv.org/abs/1603.01417) in Tensorflow

edward

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

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

expveritas

My experiments with truth :) (Understanding fundamentals through experimentation)

fairseq

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

fairseq-old

flax

Flax is a neural network library for JAX that is designed for flexibility.

flaxformer

gae

Experiments App Engine

gcp-ml-walkthrough

gcp_parallel_gpu