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Tsinghua University
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08:35
(UTC -12:00) - https://scholar.google.com/citations?hl=zh-CN&user=ZRREqFIAAAAJ
- https://zero-coder.github.io/
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🔊 Text-Prompted Generative Audio Model
Google Research
A game theoretic approach to explain the output of any machine learning model.
A simple screen parsing tool towards pure vision based GUI agent
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
FinRL®: Financial Reinforcement Learning. 🔥
强化学习中文教程(蘑菇书🍄),在线阅读地址:https://datawhalechina.github.io/easy-rl/
Inpaint anything using Segment Anything and inpainting models.
数据挖掘、计算机视觉、自然语言处理、推荐系统竞赛知识、代码、思路
Democratizing Reinforcement Learning for LLMs
Grounded SAM 2: Ground and Track Anything in Videos with Grounding DINO, Florence-2 and SAM 2
Pytorch implementations of various Deep NLP models in cs-224n(Stanford Univ)
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
Repository containing notebooks of my posts on Medium
开源人脸口罩检测模型和数据 Detect faces and determine whether people are wearing mask.
Code for the paper "ViperGPT: Visual Inference via Python Execution for Reasoning"
Unified Training of Universal Time Series Forecasting Transformers
Codebase for Time-series Generative Adversarial Networks (TimeGAN) - NeurIPS 2019
A python library for time-series smoothing and outlier detection in a vectorized way.
From scratch implementation of a sparse mixture of experts language model inspired by Andrej Karpathy's makemore :)
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
CLIPort: What and Where Pathways for Robotic Manipulation
Bearing fault diagnosis model based on MCNN-LSTM