🤗 PEFT: State-of-the-art Parameter-Efficient Fine-Tuning.

The most comprehensive database of Chinese poetry 🧶最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。

Project for the paper entitled `Instruction Tuning for Large Language Models: A Survey`

A Survey on CLIP in Medical Imaging

Computation-Efficient Era: A Comprehensive Survey of State Space Models in Medical Image Analysis

A curated list of practical guide resources of Medical LLMs (Medical LLMs Tree, Tables, and Papers)

M3D: Advancing 3D Medical Image Analysis with Multi-Modal Large Language Models

AI ChatBot using Python Tensorflow and Natural Language Processing (NLP) along side TFLearn

Chatbot system for Final Year Project. Chatbot made in Python using Natural Language Toolkit especially Machine Learning. Easy to Understand and Implement.

Instant neural graphics primitives: lightning fast NeRF and more

Instant neural graphics primitives: lightning fast NeRF and more

An API for DALLE-3

Code release for NeRF (Neural Radiance Fields)

A PyTorch implementation of NeRF (Neural Radiance Fields) that reproduces the results.

Reading list for research topics in multimodal machine learning

OpenMMLab Computer Vision Foundation

Advanced AI Explainability for computer vision. Support for CNNs, Vision Transformers, Classification, Object detection, Segmentation, Image similarity and more.

OpenMMLab FewShot Learning Toolbox and Benchmark

Textbooks (EE)CS majors at Berkeley would find helpful

Algorithm and data structure articles for https://cp-algorithms.com (based on https://e-maxx.ru)

Foreign language reading and translation assistant based on copy and translate.

Tools for generating mini-ImageNet dataset and processing batches

Meta Learning for Semi-Supervised Few-Shot Classification

Pytorch implementation of the paper "Optimization as a Model for Few-Shot Learning"

TensorFlow and PyTorch implementation of "Meta-Transfer Learning for Few-Shot Learning" (CVPR2019)

Leaderboards for few-shot image classification on miniImageNet, tieredImageNet, FC100, and CIFAR-FS.

A simple program to calculate and visualize the FLOPs and Parameters of Pytorch models, with handy CLI and easy-to-use Python API.

Flops counter for convolutional networks in pytorch framework

A collection of resources on applications of multi-modal learning in medical imaging.

Ongoing research training transformer models at scale