DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

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Inference code for LLaMA models

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

Contrastive Language-Image Pretraining

《Machine Learning Systems: Design and Implementation》- Chinese Version

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

A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (p…

Datasets, Transforms and Models specific to Computer Vision

Un-Mix: Rethinking Image Mixtures for Unsupervised Visual Representation Learning

A repository that shares tuning results of trained models generated by TensorFlow / Keras. Post-training quantization (Weight Quantization, Integer Quantization, Full Integer Quantization, Float16 …

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-…

Code for visualizing the loss landscape of neural nets

Base pretrained models and datasets in pytorch (MNIST, SVHN, CIFAR10, CIFAR100, STL10, AlexNet, VGG16, VGG19, ResNet, Inception, SqueezeNet)

MNN is a blazing fast, lightweight deep learning framework, battle-tested by business-critical use cases in Alibaba

10x faster matrix and vector operations.

Collections of model quantization algorithms. Any issues, please contact Peng Chen ([email protected])

Pytorch implementation of BRECQ, ICLR 2021

浙江大学课程攻略共享计划

Accelerating T2t-ViT by 1.6-3.6x.

Pruning Filter in Filter(NeurIPS2020)

Code for paper: Group-CAM: Group Score-Weighted Visual Explanations for Deep Convolutional Networks

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

[CVPRW 2020] Official implementation of Score-CAM in Pytorch

A curated list of awesome self-supervised methods

🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.