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Curated tutorials and resources for Large Language Models, Text2SQL, Text2DSL、Text2API、Text2Vis and more.
Anole: An Open, Autoregressive and Native Multimodal Models for Interleaved Image-Text Generation
An extremely fast Python package and project manager, written in Rust.
[ECCV2024] API code for T-Rex2: Towards Generic Object Detection via Text-Visual Prompt Synergy
Weekly visualization report of Open LLM model performance based on 4 metrics.
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.
RWKV (pronounced RwaKuv) is an RNN with great LLM performance, which can also be directly trained like a GPT transformer (parallelizable). We are at RWKV-7 "Goose". So it's combining the best of RN…
Automatic Generation of Visualizations and Infographics using Large Language Models
😵 GitHub achievements that did not make the cut.
🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.
An Extensible Toolkit for Finetuning and Inference of Large Foundation Models. Large Models for All.
Single-document unsupervised keyword extraction
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
EVA Series: Visual Representation Fantasies from BAAI
Official Implementation of OCR-free Document Understanding Transformer (Donut) and Synthetic Document Generator (SynthDoG), ECCV 2022
Easy-to-use image segmentation library with awesome pre-trained model zoo, supporting wide-range of practical tasks in Semantic Segmentation, Interactive Segmentation, Panoptic Segmentation, Image …
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphic…
Implementation of sequential Information Bottleneck (sIB) in Python and in C++
Convert scikit-learn models to PyTorch modules
Fit interpretable models. Explain blackbox machine learning.
A scikit-learn-compatible library for estimating prediction intervals and controlling risks, based on conformal predictions.
A Unified Toolkit for Deep Learning Based Document Image Analysis
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
VOLO: Vision Outlooker for Visual Recognition
A modern Python application packaging and distribution tool