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C++实现数据挖掘的相关知识

2020wn_cs545

Try to implement Hybrid Attention Net mentioned in 'Listening to Chaotic Whispers'

3d-resnets-pytorch

3D ResNets for Action Recognition (CVPR 2018)

3d-to-2d-distillation-for-indoor-scene-parsing

CVPR 2021, https://arxiv.org/abs/2104.02243

3dsgan

The code of '3D-Aware Semantic-Guided Generative Model for Human Synthesis' (ECCV 2022)

3dssd

3DSSD: Point-based 3D Single Stage Object Detector (CVPR 2020)

6.824-2017

:zap: 6.824: Distributed Systems (Spring 2017). A course which present abstractions and implementation techniques for engineering distributed systems.

absa-pytorch

Aspect Based Sentiment Analysis, PyTorch Implementations. 基于方面的情感分析，使用PyTorch实现。

acm

日常算法刷题记录

activitynet

This repository is intended to host tools and demos for ActivityNet

acvnet

ACVNet: Attention Concatenation Volume for Accurate and Efficient Stereo Matching (CVPR 2022)

adabins

Official implementation of Adabins: Depth Estimation using adaptive bins

adapter-transformers

Huggingface Transformers + Adapters = ❤️

adgat

Modeling the Momentum Spillover Effect for Stock Prediction via Attribute-Driven Graph Attention Networks

adv-alstm

Code for paper "Enhancing Stock Movement Prediction with Adversarial Training" IJCAI 2019

ai-interview

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-system

System for AI Education Resource.

aicity2021_track2_dmt

The 1st place solution of track2 (Vehicle Re-Identification) in the NVIDIA AI City Challenge at CVPR 2021 Workshop.

aimet

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

airdet

Advanced industrial efficiency-oriented object detection.

albert

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

albert_zh

A LITE BERT FOR SELF-SUPERVISED LEARNING OF LANGUAGE REPRESENTATIONS, 海量中文预训练ALBERT模型

alibabacloud-quantization-networks

alibabacloud-quantization-networks

alightgpu

GPU-Accelerated Ray-Tracing Renderer Using CUDA

alphafin

alt-zsc

Alternate Implementation for Zero Shot Text Classification: Instead of reframing NLI/XNLI, this reframes the text backbone of CLIP models to do ZSC. Hence, can be lightweight + supports more languages without trading-off accuracy. (Super simple, a 10th-grader could totally write this but since no 10th-grader did, I did) - Prithivi Da

amc

[ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices

an-introduction-to-statistical-learning

This repository contains the exercises and its solution contained in the book "An Introduction to Statistical Learning" in python.

annotated_deep_learning_paper_implementations

🧠 Implementations/tutorials of deep learning papers with side-by-side notes; including transformers (original, xl, switch, feedback), optimizers(adam, radam, adabelief), gans(dcgan, cyclegan, stylegan2), reinforcement learning (ppo, dqn), capsnet, sketch-rnn, etc.