Development repository for the Triton language and compiler

OpenCompass is an LLM evaluation platform, supporting a wide range of models (LLaMA, LLaMa2, ChatGLM2, ChatGPT, Claude, etc) over 50+ datasets.

TorchBench is a collection of open source benchmarks used to evaluate PyTorch performance.

PPL Quantization Tool (PPQ) is a powerful offline neural network quantization tool.

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

Open standard for machine learning interoperability

Model Quantization Benchmark

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Pytorch implementation of BRECQ, ICLR 2021

京东秒杀商品抢购

OpenMMLab Image Classification Toolbox and Benchmark

Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming

Detectron2 is FAIR's next-generation platform for object detection and segmentation.

Tensors and Dynamic neural networks in Python with strong GPU acceleration

BitSplit Post-trining Quantization

PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.

EasyQuant(EQ) is an efficient and simple post-training quantization method via effectively optimizing the scales of weights and activations.

YOLOV3-Tiny TensorRT6.0 13个类别

convert torch module to tensorrt network or tvm function

Differentiable architecture search for convolutional and recurrent networks

Quantization of Convolutional Neural networks.

TensorRT is a C++ library for high performance inference on NVIDIA GPUs and deep learning accelerators.

《机器学习》（西瓜书）公式推导解析，在线阅读地址：https://datawhalechina.github.io/pumpkin-book

This is the implementation of FCSN

This is the implementation of the paper Video Summarization by Learning from Unpaired Data(CVPR2019)

2018/2019/校招/春招/秋招/算法/机器学习(Machine Learning)/深度学习(Deep Learning)/自然语言处理(NLP)/C/C++/Python/面试笔记