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3d-machine-learning

A learning resource repository for 3D machine learning

attention-transfer

Improving Convolutional Networks via Attention Transfer (ICLR 2017)

bnet

Batch Normalization with Enhanced Linear Transformation

channel-pruning

Channel Pruning for Accelerating Very Deep Neural Networks

diracnets

Training Very Deep Neural Networks Without Skip-Connections

gptq-for-llama

4 bits quantization of LLaMA using GPTQ, zeros fp16

gptqlora

GPTQLoRA: Efficient Finetuning of Quantized LLMs with GPTQ

img_classification_pk_pytorch

Quickly comparing your image classification models with the state-of-the-art models (such as DenseNet, ResNet, ...)

mmdetection

OpenMMLab Detection Toolbox and Benchmark

o3de

Open 3D Engine (O3DE) is an Apache 2.0-licensed multi-platform 3D engine that enables developers and content creators to build AAA games, cinema-quality 3D worlds, and high-fidelity simulations without any fees or commercial obligations.

pc-darts

PC-DARTS:Partial Channel Connections for Memory-Efficient Differentiable Architecture Search

pdarts

Codes for our paper "Progressive Differentiable Architecture Search:Bridging the Depth Gap between Search and Evaluation"

qa-lora

Official PyTorch implementation of QA-LoRA

switchable-normalization

Code for Switchable Normalization from "Differentiable Learning-to-Normalize via Switchable Normalization", https://arxiv.org/abs/1806.10779

tiny-dsod

Tiny-DSOD: Lightweight Object Detection for Resource-Restricted Usage

trained-rank-pruning

Pytorch implementation of TRP

variational-dropout-sparsifies-dnn

Sparse Variational Dropout, ICML 2017

wlq

caffe implementation of single level quantization

xlnet

XLNet: Generalized Autoregressive Pretraining for Language Understanding

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