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nullius-2020's Projects

annotated_deep_learning_paper_implementations icon annotated_deep_learning_paper_implementations

🧑‍🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠

autox icon autox

AutoX is an efficient automl tool, which is mainly aimed at data mining tasks with tabular data.

books icon books

【编程随想】收藏的电子书清单(多个学科,含下载链接)

chattts-ui icon chattts-ui

一个简单的本地网页界面,使用ChatTTS将文字合成为语音,同时支持对外提供API接口。A simple native web interface that uses ChatTTS to synthesize text into speech, along with support for external API interfaces.

d2l-zh icon d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。

deeprft icon deeprft

The code for 'Deep Residual Fourier Transformation for Single Image Deblurring'

eco-pp icon eco-pp

PaddlePaddle implementation for "ECO: Efficient Convolutional Network for Online Video Understanding", ECCV 2018

fay icon fay

Fay是一个完整的开源项目,包含Fay控制器及数字人模型,可灵活组合出不同的应用场景:虚拟主播、现场推销货、商品导购、语音助理、远程语音助理、数字人互动、数字人面试官及心理测评、贾维斯、Her。 开源项目,非产品试用!!!

gp-nas-ensemble icon gp-nas-ensemble

The 2nd Solution for Track2 of lightweight NAS Challenge in CVPR 2022 Workshop

jarvis icon jarvis

JARVIS, a system to connect LLMs with ML community. Paper: https://arxiv.org/pdf/2303.17580.pdf

llm.c icon llm.c

LLM training in simple, raw C/CUDA

mae-paddle icon mae-paddle

Unofficial Paddle implementation of Masked Autoencoders Are Scalable Vision Learners

paddlevit icon paddlevit

:robot: PaddleViT: State-of-the-art Visual Transformer and MLP Models for PaddlePaddle 2.0+

papers-we-love icon papers-we-love

Papers from the computer science community to read and discuss.

r2c-paddle icon r2c-paddle

Recognition to Cognition Networks (code for the model in "From Recognition to Cognition: Visual Commonsense Reasoning", CVPR 2019)

takg-paddle icon takg-paddle

The official implementation of ACL 2019 paper "Topic-Aware Neural Keyphrase Generation for Social Media Language"

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