l1uw3n's repositories

ailabx

AI量化实验室,专注将前沿人工智能技术(深度学习/强化学习/知识图谱)应用于金融量化投资。

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Autopilot-Notes

自动驾驶笔记,以解析各模块知识点、整合行业优秀解决方案进行阐述,以帮助自己及有需要的读者;包含深度学习、deeplearning、无人驾驶、BEV、Transformer、ADAS、CVPR、特斯拉AI DAY、大模型、chatgpt等内容。由于水平有限,文中不妥之处恳请广大读者批评指正。如有合作意向,请联系 931531133@qq.com

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CPlusPlus

最全面的 C++ 笔记

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DCRNN_PyTorch

Diffusion Convolutional Recurrent Neural Network Implementation in PyTorch

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Diffusion-Models

扩散模型原理和pytorch代码实现初学资料汇总

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diffusion-models-class

Materials for the Hugging Face Diffusion Models Course

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EmbeddedML

《AI嵌入式系统——算法优化与实现》软件工具、例程及教学辅助材料

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hard_decode_trt

Yolov5 inference on NVDec hardware decoder

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copilot-gpt4-service

Convert Github Copilot to ChatGPT

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Hand-Detection-3D

This project merges computer vision with 3D modeling to create a lifelike virtual hand in Unity. Hand movements are tracked using OpenCV, enabling real-time interaction and applications in virtual reality, gaming, and simulations.

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Math_Model

数学建模、美赛、美国大学生数学建模竞赛、全国大学生数学建模竞赛、华为杯研究生数学建模、国赛LaTeX模板、美赛LaTeX模板、mathorcup、电工杯、华中赛、APMCM、深圳杯、中青杯、华东杯、数维杯、东三省数学建模、认证杯、数学建模书籍、常用matlab算法、国赛评阅要点、软件模型算法汇总、智能算法、优化算法、现代的算法

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meta-learning-pytorch

Meta Learning implementations via PyTorch (without any other frameworks)

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ML-examples

Arm Machine Learning tutorials and examples

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numpy-ml

Machine learning, in numpy

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PyCIL

PyCIL: A Python Toolbox for Class-Incremental Learning

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pytorch_DANN

The PyTorch implementation of DANN (Domain-Adversarial Training of Neural Networks).

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reinforcement_torch_pfrl

真-极简强化学习(基于torch的强化学习框架pfrl)

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RL-Stock

📈 如何用深度强化学习自动炒股

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StockRL

在A股(股票)市场上训练强化学习交易智能体

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tensorflow_practice

tensorflow实战练习,包括强化学习、推荐系统、nlp等

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time-series-learning

天池”AI Earth“气象海洋预测竞赛的Topline学习教程

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TinyNeuralNetwork

TinyNeuralNetwork is an efficient and easy-to-use deep learning model compression framework.

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tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

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unet-pytorch

这是一个unet-pytorch的源码,可以训练自己的模型

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VTuber-Python-Unity

An Implementation of VTuber (Both 3D and Live2D) using Python and Unity. Providing face movement tracking, eye blinking detection, iris detection and tracking and mouth movement tracking using CPU only.

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