The Wayback Machine - https://web.archive.org/web/20210801112806/https://github.com/topics/mixed-precision
Here are
18 public repositories
matching this topic...
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
-
Updated
May 11, 2021
-
Python
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
-
Updated
Feb 26, 2021
-
Python
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
-
Updated
Jul 16, 2021
-
Python
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
-
Updated
May 8, 2021
-
Python
Training with FP16 weights in PyTorch
-
Updated
Aug 7, 2019
-
Python
A tool for debugging and assessing floating point precision and reproducibility.
基于tensorflow1.x的预训练模型调用,支持单机多卡、梯度累积,XLA加速,混合精度。可灵活训练、验证、预测。
-
Updated
Jul 30, 2021
-
Python
PyCon SG 2019 Tutorial: Optimizing TensorFlow Performance
-
Updated
Nov 20, 2019
-
Jupyter Notebook
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
-
Updated
Feb 10, 2021
-
Python
High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision 🎨
-
Updated
May 23, 2021
-
Python
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
Extremely simple and understandable GPT2 implementation with minor tweaks
-
Updated
Dec 6, 2019
-
Python
This repository contains notebooks showing how to perform mixed precision training in tf.keras 2.0
-
Updated
Dec 15, 2019
-
Jupyter Notebook
An implementation of HPL-AI Mixed-Precision Benchmark based on hpl-2.3
Let's train CIFAR 10 Pytorch with Half-Precision!
-
Updated
Oct 25, 2019
-
Python
Hybrid-Precision Analysis on CG Solver (H.A.C.S). Merging single and double precision to generate a fast yet accurate CG solver
PyTorch RNet implementation with Distributed and Mixed-Precision training support.
-
Updated
Apr 18, 2019
-
Python
Deep learning solution for Cassava Leaf Disease Classification, a Kaggle's Research Code Competition using Tensorflow.
-
Updated
Apr 23, 2021
-
Jupyter Notebook
Improve this page
Add a description, image, and links to the
mixed-precision
topic page so that developers can more easily learn about it.
Curate this topic
Add this topic to your repo
To associate your repository with the
mixed-precision
topic, visit your repo's landing page and select "manage topics."
Learn more
You can’t perform that action at this time.
You signed in with another tab or window. Reload to refresh your session.
You signed out in another tab or window. Reload to refresh your session.