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LLM Finetuning with peft
Video+code lecture on building nanoGPT from scratch
Emu Series: Generative Multimodal Models from BAAI
[CVPR 2024 Oral] InternVL Family: A Pioneering Open-Source Alternative to GPT-4o. 接近GPT-4o表现的开源多模态对话模型
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
Drag & drop UI to build your customized LLM flow
Tool for robust segmentation of >100 important anatomical structures in CT and MR images
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Official implementation of our paper: Towards Robust and Reproducible Active Learning using Neural Networks, accepted at CVPR 2022.
Active Learning on a Budget - Opposite Strategies Suit High and Low Budgets
A modular active learning framework for Python
[ECCV 2022] XMem: Long-Term Video Object Segmentation with an Atkinson-Shiffrin Memory Model
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
The project is an official implement of our ECCV2018 paper "Simple Baselines for Human Pose Estimation and Tracking(https://arxiv.org/abs/1804.06208)"
⚡ Dynamically generated stats for your github readmes
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Contains Solutions and Notes for the Machine Learning Specialization By Stanford University and Deeplearning.ai - Coursera (2022) by Prof. Andrew NG
Fit interpretable models. Explain blackbox machine learning.
A Python package to assess and improve fairness of machine learning models.
Neural Networks: Zero to Hero
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Manipulate audio with a simple and easy high level interface
Python package built to ease deep learning on graph, on top of existing DL frameworks.