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a-light-and-fast-face-detector-for-edge-devices

A light and fast one class detection framework for edge devices. We provide face detector, head detector, pedestrian detector, vehicle detector......

addernet

Code for paper " AdderNet: Do We Really Need Multiplications in Deep Learning?"

ai-job-notes

AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）

ai_competitions

AI比赛相关

aimet

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

algo

数据结构和算法必知必会的50个代码实现

algorithm

data struct and algorithm notes & codes

algorithm-and-data-structure

Common algorithms and data structures

alphapose

Real-Time and Accurate Multi-Person Pose Estimation&Tracking System

apot_quantization

PyTorch implementation for the APoT quantization (ICLR 2020)

auryn

Auryn: A fast simulator for spiking neural networks with synaptic plasticity

automl

Google Brain AutoML

awesome-computer-vision

A curated list of awesome computer vision resources

awesome-deep-neural-network-compression

Summary, Code for Deep Neural Network Quantization

awesome-deep-vision

A curated list of deep learning resources for computer vision

awesome-embedded-ai

【WeChat: NeuroMem】. Weekly report and awesome list of embedded-ai.

awesome-face

😎 face releated algorithm, dataset and paper

awesome-face-detection

Compare with various detectors - dlib, ocv, ocv-dnn, mtcnn-pytorch, face_recognition

awesome-face_recognition

papers about Face Detection; Face Alignment; Face Recognition && Face Identification && Face Verification && Face Representation; Face Reconstruction; Face Tracking; Face Super-Resolution && Face Deblurring; Face Generation && Face Synthesis; Face Transfer; Face Anti-Spoofing; Face Retrieval;

awesome-fer

A reading list of top Conferences & Journals, focused on facial expression recognition (FER), facial action unit recognition and affective computing. 💖

awesome-interview

Collection of awesome interview references.

awesome-llm-inference

📖A curated list of Awesome LLM Inference Paper with codes, TensorRT-LLM, vLLM, streaming-llm, AWQ, SmoothQuant, WINT8/4, Continuous Batching, FlashAttention, PagedAttention etc.

awesome-ml-model-compression

Awesome machine learning model compression research papers, tools, and learning material.

awesome-model-compression-and-acceleration

awesome-model-quantization

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 (papers, repositories) that are missed by the repo.

awesome-object-detection

Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html

awesome-object-tracking

Object Tracking Algorithms Resources

awesome-tensorflow-lite

TensorFlow Lite models, samples, tutorials, tools and learning resources.

awesome_dnn_researchers

We will introduce the researchers who made great contributions to DNNs in the projects.

batchnorm-pruning

Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124