Zhong0x29a

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

deeplearningbook-chinese

Deep Learning Book Chinese Translation

google-research

Google Research

stanford_alpaca

Code and documentation to train Stanford's Alpaca models, and generate the data.

ncnn

ncnn is a high-performance neural network inference framework optimized for the mobile platform

GPT_API_free

Free ChatGPT API Key，免费ChatGPT API，支持GPT4 API（免费），ChatGPT国内可用免费转发API，直连无需代理。可以搭配ChatBox等软件/插件使用，极大降低接口使用成本。国内即可无限制畅快聊天。

continue

⏩ Continue is the leading open-source AI code assistant. You can connect any models and any context to build custom autocomplete and chat experiences inside VS Code and JetBrains

LMFlow

An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.

mae

PyTorch implementation of MAE https//arxiv.org/abs/2111.06377

rebiber

A simple tool to update bib entries with their official information (e.g., DBLP or the ACL anthology).

classifier-balancing

This repository contains code for the paper "Decoupling Representation and Classifier for Long-Tailed Recognition", published at ICLR 2020

LDAM-DRW

[NeurIPS 2019] Learning Imbalanced Datasets with Label-Distribution-Aware Margin Loss

MMSA

MMSA is a unified framework for Multimodal Sentiment Analysis.

Awesome-LongTailed-Learning

A codebase and a curated list of awesome deep long-tailed learning (TPAMI 2023).

wassdistance

Approximating Wasserstein distances with PyTorch

DL-Demos

Demos for deep learning

Dataset_Quantization

[ICCV2023] Dataset Quantization

TensorFusionNetworks

Pytorch Implementation of Tensor Fusion Networks for multimodal sentiment analysis.

Imagenet32_Scripts

Scripts for Imagenet 32 dataset

One-Example-Person-ReID

Code for TIP2019 Progressive Learning for Person Re-Identification with One Example

SRe2L

(NeurIPS 2023 spotlight) Large-scale Dataset Distillation/Condensation, 50 IPC (Images Per Class) achieves the highest 60.8% on original ImageNet-1K val set.

Efficient-Dataset-Condensation

Official PyTorch implementation of "Dataset Condensation via Efficient Synthetic-Data Parameterization" (ICML'22)

ddccli

Windows CLI utility for setting brightness/contrast on connected monitors.

MinimaxDiffusion

[CVPR2024] Efficient Dataset Distillation via Minimax Diffusion

CAFE

This is a method of dataset condensation, and it has been accepted by CVPR-2022.

cvae

DiM

Distilling Dataset into Generative Models

multimodal_dataset_distillation

cv-models

Models for Computer Vision

principles-of-compilers-cbypython

山东大学软件学院《编译原理》课程示例。