Jhonlv's starred repositories

tianya-docs

精心收集的天涯神贴,不带水印,方便阅读

Stargazers:1996Issues:0Issues:0

transformers_tasks

⭐️ NLP Algorithms with transformers lib. Supporting Text-Classification, Text-Generation, Information-Extraction, Text-Matching, RLHF, SFT etc.

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Linly

Chinese-LLaMA 1&2、Chinese-Falcon 基础模型;ChatFlow中文对话模型;中文OpenLLaMA模型;NLP预训练/指令微调数据集

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GLM-130B

GLM-130B: An Open Bilingual Pre-Trained Model (ICLR 2023)

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Chinese-Vicuna

Chinese-Vicuna: A Chinese Instruction-following LLaMA-based Model —— 一个中文低资源的llama+lora方案,结构参考alpaca

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nlp_chinese_corpus

大规模中文自然语言处理语料 Large Scale Chinese Corpus for NLP

License:MITStargazers:9294Issues:0Issues:0

GPT-4-LLM

Instruction Tuning with GPT-4

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awesome-chatgpt-zh

ChatGPT 中文指南🔥,ChatGPT 中文调教指南,指令指南,应用开发指南,精选资源清单,更好的使用 chatGPT 让你的生产力 up up up! 🚀

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transdim

Machine learning for transportation data imputation and prediction.

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Traffic-Transformer

This is a Pytorch implementation of Traffic Transformer. Now the corresponding paper is available online at

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free-programming-books

:books: Freely available programming books

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HGCN

The code of AAAI2021 paper of HGCN for Traffic Forecasting

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DGCN

The pytorch code of DGCN(TITS)

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STAWnet

An end-to-end deep learning model for spatial-temporal prediction

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ASTGCN-2019-mxnet

⚠️[Deprecated] no longer maintained, please use the code in https://github.com/guoshnBJTU/ASTGCN-r-pytorch

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monodepth2

[ICCV 2019] Monocular depth estimation from a single image

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StructuredAttentionDepthEstimation

Structured Attention Guided Convolutional Neural Fields for Monocular Depth Estimation in CVPR 2018 (Spotlight)

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KITTI_Dense_Depth

Generate dense depth map for monocular depth estimation task on KITTI dataset.

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PyTorch-YOLOv3

Minimal PyTorch implementation of YOLOv3

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PyTorch-YOLOv3-kitti

use yolov3 pytorch to train kitti

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deep-learning-for-image-processing

deep learning for image processing including classification and object-detection etc.

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TensorFlow-2.x-Tutorials

TensorFlow 2.x version's Tutorials and Examples, including CNN, RNN, GAN, Auto-Encoders, FasterRCNN, GPT, BERT examples, etc. TF 2.0版入门实例代码,实战教程。

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darknet

Convolutional Neural Networks

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machine-learning-notes

My continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides) 我不间断更新的机器学习,概率模型和深度学习的讲义(2000+页)和视频链接

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v2rayL

v2ray linux GUI客户端,支持订阅、vemss、ss等协议,自动更新订阅、检查版本更新

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warp-ctc

Fast parallel CTC.

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deeplearning_ai_books

deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)

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pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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