Stars
A library to convert PDF files to Markdown format.
Building a full-fledged code editor for iPad
Deploy your own Notion-powered website in minutes with Next.js and Vercel.
「大規模言語モデル入門」（2023）と「大規模言語モデル入門Ⅱ〜生成型LLMの実装と評価」（2024）のGitHubリポジトリ
🔍 An LLM-based Multi-agent Framework of Web Search Engine (like Perplexity.ai Pro and SearchGPT)
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…
中文羊驼大模型三期项目 (Chinese Llama-3 LLMs) developed from Meta Llama 3
Welcome to the Llama Cookbook! This is your go to guide for Building with Llama: Getting started with Inference, Fine-Tuning, RAG. We also show you how to solve end to end problems using Llama mode…
Schedule-Free Optimization in PyTorch
Seamlessly integrate LLMs into scikit-learn.
Useful tool to build multi-agent in an easy way
utilities for decoding deep representations (like sentence embeddings) back to text
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
6th place solution source code (charmq part) of Kaggle RSNA Screening Mammography Breast Cancer Detection competition
Scaling Up Your Kernels to 31x31: Revisiting Large Kernel Design in CNNs (CVPR 2022)
Need data error detection w/o heavy computation and any extra bits? Need lightweight scrambler? bitsnarl may help you!
Medical imaging processing for deep learning.
Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)
Python library to control Konica Minolta CL200A chroma meter/luxmeter.
Graph Networks as a Universal Machine Learning Framework for Molecules and Crystals
FFCV: Fast Forward Computer Vision (and other ML workloads!)
The fast version of DeLong's method for computing the covariance of unadjusted AUC.
PyTorch implementations of several SOTA backbone deep neural networks (such as ResNet, ResNeXt, RegNet) on one-dimensional (1D) signal/time-series data.
A modern Python application packaging and distribution tool
Disentangling biological signal from experimental noise in cellular images.