Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
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Updated
May 11, 2021 - Python
Toolkit for efficient experimentation with Speech Recognition, Text2Speech and NLP
Build, customize and control you own LLMs. From data pre-processing to fine-tuning, xTuring provides an easy way to personalize open-source LLMs. Join our discord community: https://discord.gg/TgHXuSJEk6
[CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Simple Pose: Rethinking and Improving a Bottom-up Approach for Multi-Person Pose Estimation
Microsoft Automatic Mixed Precision Library
High Resolution Style Transfer in PyTorch with Color Control and Mixed Precision 🎨
Training with FP16 weights in PyTorch
🎯 Accumulated Gradients for TensorFlow 2
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
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。
NAACL '24 (Best Demo Paper RunnerUp) / MlSys @ NeurIPS '23 - RedCoast: A Lightweight Tool to Automate Distributed Training and Inference
Let's train CIFAR 10 Pytorch with Half-Precision!
[ECCV24] MixDQ: Memory-Efficient Few-Step Text-to-Image Diffusion Models with Metric-Decoupled Mixed Precision Quantization
Extremely simple and understandable GPT2 implementation with minor tweaks
PyTorch RNet implementation with Distributed and Mixed-Precision training support.
[CVPR 2016]You Only Look Once: Unified, Real-Time Object Detection
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