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adavit

Official implementation of AdaViT

awesome-embodied-multimodal-llms

Latest Advances on Embodied Multimodal LLMs (or Vison-Language-Action Models).

caffe

Caffe: a Fast framework for neural networks. For the most recent version, check out branch dev. For a more stable version, check out branch master.

closerlookfewshot

source code to ICLR'19, 'A Closer Look at Few-shot Classification'

cnn-quantization

Quantization of Convolutional Neural networks.

codinginterviews

剑指Offer——名企面试官精讲典型编程题

cuda-neural-network

Convolutional Neural Network with CUDA (MNIST 99.23%)

cuda_freshman

cudasteps

基于《cuda编程-基础与实践》的cuda学习之路。

darts

Differentiable architecture search for convolutional and recurrent networks

deeplabv3.pytorch

PyTorch implementation of DeepLabv3

deepstream_reference_apps

Samples for TensorRT/Deepstream for Tesla & Jetson

deepstream_tlt_apps

Sample apps to demonstrate how to deploy models trained with TLT on DeepStream

deit

Official DeiT repository

dynamicvit

[NeurIPS 2021] DynamicViT: Efficient Vision Transformers with Dynamic Token Sparsification

eagleeye

(ECCV'2020 Oral)EagleEye: Fast Sub-net Evaluation for Efficient Neural Network Pruning

easyquant

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

evo-vit

Official implement of Evo-ViT: Slow-Fast Token Evolution for Dynamic Vision Transformer

faster_rcnn_pytorch

Faster RCNN with PyTorch

filter-pruning-geometric-median

Filter Pruning via Geometric Median for Deep Convolutional Neural Networks Acceleration (CVPR 2019 Oral)

gaoxiang12-slambook

llm-cookbook

面向开发者的 LLM 入门教程，吴恩达大模型系列课程中文版

llm-foundry

LLM training code for MosaicML foundation models

ml-visuals

🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.

mobilenetv2.pytorch

72.8% MobileNetV2 1.0 model on ImageNet and a spectrum of pre-trained MobileNetV2 models

netron

Visualizer for neural network, deep learning, and machine learning models

nn-cuda-example

Several simple examples for popular neural network toolkits calling custom CUDA operators.

nni

An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

octomap_tutor

A tutorial about octomap. Please check my blog for detail: cnblogs.com/gaoxiang12

onnx-tensorrt

ONNX-TensorRT: TensorRT backend for ONNX