Stars
A Collection of Papers about Memory for Language Agents
A repo lists papers related to LLM based agent
A Survey of Reinforcement Learning for Large Reasoning Models
EasyR1: An Efficient, Scalable, Multi-Modality RL Training Framework based on veRL
Code for our Paper "SAMIHS: Adaptation of Segment Anything Model for Efficient Intracranial Hemorrhage Segmentation".
Unified Efficient Fine-Tuning of 100+ LLMs & VLMs (ACL 2024)
Pytorch implementation of DoReMi, a method for optimizing the data mixture weights in language modeling datasets
Phoneme-Level BERT for Enhanced Prosody of Text-to-Speech with Grapheme Predictions
A Chrome extension for downloading files on Pixiv Fanbox in batches. Chrome 扩展，用于批量下载 Pixiv Fanbox 上的文件。
Pre-Training with Whole Word Masking for Chinese BERT（中文BERT-wwm系列模型）
Evaluation Metrics Used For The Performance Evaluation of Voice Conversion (VC) Models
ouor / so-vits-svc-5.0
Forked from PlayVoice/whisper-vits-svcCore Engine of Singing Voice Conversion & Singing Voice Clone
[IPMI'23] Diffusion Model based Semi-supervised Learning on Brain Hemorrhage Images for Efficient Midline Shift Quantification
Full code for the paper "Incorporating Task-Specific Structural Knowledge into CNNs for Brain Midline Shift Detection"
Implementation of "MOSNet: Deep Learning based Objective Assessment for Voice Conversion"
[ICML 2025] SongGen: A Single Stage Auto-regressive Transformer for Text-to-Song Generation
An Easy-to-use, Scalable and High-performance RLHF Framework based on Ray (PPO & GRPO & REINFORCE++ & vLLM & Ray & Dynamic Sampling & Async Agentic RL)
Evaluate your speech-to-text system with similarity measures such as word error rate (WER)
Robust Speech Recognition via Large-Scale Weak Supervision
Deep speaker embeddings in PyTorch, including x-vectors. Code used in this work: https://arxiv.org/abs/2007.16196
A wrapper around speech quality metrics MOSNet, BSSEval, STOI, PESQ, SRMR, SISDR
ASVtorch Toolkit: Speaker Verification with Deep-Neural Networks. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S235271102100042X