tfboyd

agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

benchmark_harness

RogueZero a ML benchmarking tool

benchmarks

Benchmark code

dlbench

Benchmarking State-of-the-Art Deep Learning Software Tools

docs

TensorFlow documentation

models

Models built with TensorFlow

pisac

tensorflow

Computation using data flow graphs for scalable machine learning

tf-tools

Tools for working with tensorflow, e.g. benchmarks

tpu

Reference models and tools for Cloud TPUs.

tfboyd/benchmark_harness

RogueZero a ML benchmarking tool

tfboyd/tf-tools

Tools for working with tensorflow, e.g. benchmarks

tfboyd/tpu

Reference models and tools for Cloud TPUs.

tfboyd/models

Models built with TensorFlow

tfboyd/tensorflow

Computation using data flow graphs for scalable machine learning

tfboyd/dlbench

Benchmarking State-of-the-Art Deep Learning Software Tools

tfboyd/docs

TensorFlow documentation

tfboyd/agents

TF-Agents is a library for Reinforcement Learning in TensorFlow

tfboyd/benchmarks

Benchmark code

tfboyd/pisac

tfboyd/reverb

Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research

tfboyd/rl-baselines-zoo

A collection of 100+ pre-trained RL agents using Stable Baselines, training and hyperparameter optimization included.

tfboyd/stable-baselines

A fork of OpenAI Baselines, implementations of reinforcement learning algorithms

tfboyd/apparatus

ML Apparatus

tfboyd/circuit_training

tfboyd/deeplearning-benchmark

tfboyd/DREAMPlace

Deep learning toolkit-enabled VLSI placement

tfboyd/examples

TensorFlow examples

tfboyd/mlp_compliance

Unofficial MLPerf Compliance Scripts

tfboyd/rl-reliability-metrics

The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.

tfboyd/tf-slim

tfboyd/training

Reference implementations of training benchmarks