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Institute of Automation,Chinese Academy of Sciences
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The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
Graph Neural Network Library for PyTorch
Neuroimaging analysis and visualization suite
The open-source tool for building high-quality datasets and computer vision models
A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.
Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.
TorchMultimodal is a PyTorch library for training state-of-the-art multimodal multi-task models at scale.
Datasets, Transforms and Models specific to Computer Vision
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
RS5M: a large-scale vision language dataset for remote sensing [TGRS]
为GPT/GLM等LLM大语言模型提供实用化交互接口,特别优化论文阅读/润色/写作体验,模块化设计,支持自定义快捷按钮&函数插件,支持Python和C++等项目剖析&自译解功能,PDF/LaTex论文翻译&总结功能,支持并行问询多种LLM模型,支持chatglm3等本地模型。接入通义千问, deepseekcoder, 讯飞星火, 文心一言, llama2, rwkv, claude2, m…
Software platform for clinical neuroimaging studies
PyTorch implementation of RCG https://arxiv.org/abs/2312.03701
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Open-source offline translation library written in Python
Framework for the reproducible processing of neuroimaging data with deep learning methods
Examples for https://github.com/optuna/optuna
Multimodal model for text and tabular data with HuggingFace transformers as building block for text data
Keras documentation, hosted live at keras.io
PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf
Translation plugin for IntelliJ based IDEs/Android Studio.
[ICML 2024] Vision Mamba: Efficient Visual Representation Learning with Bidirectional State Space Model
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.
⏰ AI conference deadline countdowns
A full spaCy pipeline and models for scientific/biomedical documents.