Lists (3)
Stars
An Efficient and User-Friendly Scaling Library for Reinforcement Learning with Large Language Models
This is an official implementation of the Reward rAnked Fine-Tuning Algorithm (RAFT), also known as iterative best-of-n fine-tuning or rejection sampling fine-tuning.
An Easy-to-use, Scalable and High-performance RLHF Framework designed for Multimodal Models.
Codebase for Iterative DPO Using Rule-based Rewards
Extend OpenRLHF to support LMM RL training for reproduction of DeepSeek-R1 on multimodal tasks.
Aligning Large Language Models with Human: A Survey
The Code for Lever LM: Configuring In-Context Sequence to Lever Large Vision Language Models
Code and documentation to train Stanford's Alpaca models, and generate the data.
Instruct-tune LLaMA on consumer hardware
Example models using DeepSpeed
A curated list of practical guide resources of LLMs (LLMs Tree, Examples, Papers)
Approaching (Almost) Any Machine Learning Problem
《Hello 算法》：动画图解、一键运行的数据结构与算法教程。支持 Python, Java, C++, C, C#, JS, Go, Swift, Rust, Ruby, Kotlin, TS, Dart 代码。简体版和繁体版同步更新，English version in translation
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.
[ECCVW 2022] The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"
Domain Adaptive Mitochondria Segmentation via Enforcing Inter-Section Consistency
A playbook for systematically maximizing the performance of deep learning models.
The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…
The code for our newly accepted paper in Pattern Recognition 2020: "U^2-Net: Going Deeper with Nested U-Structure for Salient Object Detection."
MedicalSeg is an easy-to-use 3D medical image segmentation toolkit that supports the whole segmentation process. Specially, We provide data preprocessing acceleration, high precision model on COVID…
Google AI 2018 BERT pytorch implementation