qiuhualiu's repositories
attention-is-all-you-need-pytorch
A PyTorch implementation of the Transformer model in "Attention is All You Need".
bert
TensorFlow code and pre-trained models for BERT
deep-learning-from-scratch
《深度学习入门-基于Python的理论与实现》,包含源代码和高清PDF(带书签);慕课网imooc《深度学习之神经网络(CNN-RNN-GAN)算法原理-实战》;《菜菜的机器学习sklearn》
deep-learning-from-scratch-2
『ゼロから作る Deep Learning ❷』(O'Reilly Japan, 2018)
deep-learning-from-scratch-3
『ゼロから作る Deep Learning ❸』(O'Reilly Japan, 2020)
deep-learning-from-scratch_original
『ゼロから作る Deep Learning』(O'Reilly Japan, 2016)
deep-reinforcement-learning-book.github.io
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DevOpsWithKubernetes
This is the repository for the Helsinki University MOOC course: DevOpsWithKubernetes. It containes excersies for that course.
Hands-On-GPU-Programming-with-Python-and-CUDA
Hands-On GPU Programming with Python and CUDA, published by Packt
HowToCook
程序员在家做饭方法指南。Programmer's guide about how to cook at home (Chinese only).
LeetCode-Py
⛽️「算法通关手册」:超详细的「算法与数据结构」基础讲解教程,从零基础开始学习算法知识,750+ 道「LeetCode 题目」详细解析,200 道「面试热门题目」。
lit-llama
Implementation of the LLaMA language model based on nanoGPT. Supports flash attention, Int8 and GPTQ 4bit quantization, LoRA and LLaMA-Adapter fine-tuning, pre-training. Apache 2.0-licensed.
LTE
fork from https://git.networks.imdea.org/nicola_bui/imdeaowl (仅为备份使用,如有侵权,可联系删除)
Mastering-Transformers
Mastering Transformers, published by Packt
medium_articles
Scripts/Notebooks used for my articles published on Medium
minGPT
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
modern-cpp-tutorial
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
nanoGPT
The simplest, fastest repository for training/finetuning medium-sized GPTs.
ngx-admin
Customizable admin dashboard template based on Angular 8+
ParlAI
A framework for training and evaluating AI models on a variety of openly available dialogue datasets.
public-apis
A collective list of free APIs for use in software and web development.
Real-Time-Voice-Cloning
Clone a voice in 5 seconds to generate arbitrary speech in real-time
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
tensor2tensor
Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
trax
Trax — Deep Learning with Clear Code and Speed
twint
An advanced Twitter scraping & OSINT tool written in Python that doesn't use Twitter's API, allowing you to scrape a user's followers, following, Tweets and more while evading most API limitations.
vision
Datasets, Transforms and Models specific to Computer Vision