Dongliang Song's repositories
AutoGPT
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
llm-actions
本项目旨在分享大模型相关技术原理以及实战经验。
Deep-Learning-Interview-Book
深度学习面试宝典（含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向）
self-llm
《开源大模型食用指南》基于Linux环境快速部署开源大模型，更适合**宝宝的部署教程
time-series-transformers-review
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
autogluon
AutoGluon: AutoML for Image, Text, Time Series, and Tabular Data
segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
latexify_py
A library to generate LaTeX expression from Python code.
CLIP
CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image
FinGPT
Data-Centric FinGPT. Open-source for open finance! Revolutionize 🔥 We release the trained model on HuggingFace.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
ray-optics
A web app for creating and simulating 2D geometric optical scenes, with a gallery of (interactive) demos.
awesome-biological-image-analysis
A curated list of software, tools, pipelines, plugins etc. for image analysis related to biological questions.
tsfel
An intuitive library to extract features from time series.
TRAIT2D
TRAIT2D is a cross-platform Python software package with compilable graphical user interfaces (GUIs) to support Single Particle Tracking experiments.
transformer
A TensorFlow Implementation of the Transformer: Attention Is All You Need
python-microscopy
The python-microscopy environment - an open-source package for light microscopy
openmicroscopy
OME (Open Microscopy Environment) develops open-source software and data format standards for the storage and manipulation of biological light microscopy data. A joint project between universities, research establishments and industry in Europe and the USA, OME has over 20 active researchers with strong links to the microscopy community. Funded by
storm-analysis
STORM movie analysis code
keras-mmoe
A TensorFlow Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)
coding-interview-university
A complete computer science study plan to become a software engineer.
sparse-deconv-py
Official Python implementation of the 'Sparse deconvolution'-v0.3.0
deep-learning-for-image-processing
deep learning for image processing including classification and object-detection etc.
ZeroCostDL4Mic
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
U-Time
U-Time: A Fully Convolutional Network for Time Series Segmentation
Awesome-Backbones
Integrate deep learning models for image classification | Backbone learning/comparison/magic modification project
DoM_Utrecht
Detection of Molecules plugin for ImageJ, Utrecht University
Deep-Learning-for-Tracking-and-Detection
Collection of papers, datasets, code and other resources for object tracking and detection using deep learning
conv_visulization
A technical report on convolution arithmetic in the context of deep learning