Gao Shijian (gaoloveAI)

gaoloveAI

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Gao Shijian's repositories

Book-Mathematical-Foundation-of-Reinforcement-Learning

This is the homepage of a new book entitled "Mathematical Foundations of Reinforcement Learning."

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LLMs-from-scratch

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

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ollama

Get up and running with Llama 3, Mistral, Gemma, and other large language models.

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anything-llm

The all-in-one Desktop & Docker AI application with full RAG and AI Agent capabilities.

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self-llm

《开源大模型食用指南》基于AutoDL快速部署开源大模型,更适合**宝宝的部署教程

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researchgpt

An open-source LLM based research assistant that allows you to have a conversation with a research paper

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Awesome-Diffusion-Models

A collection of resources and papers on Diffusion Models

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yolov5

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

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PyTorch-StudioGAN

StudioGAN is a Pytorch library providing implementations of representative Generative Adversarial Networks (GANs) for conditional/unconditional image generation.

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yolov7

Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors

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matrix-capsules-with-em-routing

A TensorFlow implementation of "Matrix Capsules with EM Routing" by Hinton et al. (2018).

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refinenet-pytorch

RefineNet-101 VOC in PyTorch

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Transformers-for-NLP-2nd-Edition

Under the hood working of transformers, fine-tuning GPT-3 models, DeBERTa, vision models, and the start of Metaverse, using a variety of NLP platforms: Hugging Face, OpenAI API, Trax, and AllenNLP

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The-Kaggle-Book

Code Repository for The Kaggle Book, Published by Packt Publishing

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PyTorch-GAN

PyTorch implementations of Generative Adversarial Networks.

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effective_pandas_book

Errata and code for Effective Pandas book

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notebooks

Jupyter notebooks for the Natural Language Processing with Transformers book

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cs-video-courses

List of Computer Science courses with video lectures.

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Sharing_ISL_python

An Introduction to Statistical Learning with Applications in PYTHON

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DeepLearning-500-questions

深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系scutjy2015@163.com 版权所有,违权必究 Tan 2018.06

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pytorch-image-classification

Tutorials on how to implement a few key architectures for image classification using PyTorch and TorchVision.

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learn-nlp-with-transformers

we want to create a repo to illustrate usage of transformers in chinese

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NUWA

A unified 3D Transformer Pipeline for visual synthesis

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scientific-visualization-book

An open access book on scientific visualization using python and matplotlib

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RL-Algorithms-by-Pytorch

Clean and robust implementations of Reinforcement Learning algorithms by Pytorch

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d2l-zh

《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被全球200所大学采用教学。

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caffe-SSD

Caffe: a fast open framework for deep learning.

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CV_Interview

I hope this repo can help you a lot!

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python-mini-projects

A collection of simple python mini projects to enhance your python skills

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wonderful-sql

Follow me,从 0 到 1 掌握 SQL,决胜秋招。

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