jianliu-ml's Stars
DachunKai/EvTexture
[ICML 2024] EvTexture: Event-driven Texture Enhancement for Video Super-Resolution
jiji262/tianya-docs
精心收集的天涯神贴,不带水印,方便阅读
freqtrade/freqtrade
Free, open source crypto trading bot
Nate711/StanfordDoggoProject
Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!
nerfstudio-project/nerfstudio
A collaboration friendly studio for NeRFs
fishaudio/Bert-VITS2
vits2 backbone with multilingual-bert
JusperLee/Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
DAMO-NLP-SG/Video-LLaMA
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
Miraclemarvel55/LLaMA-MOSS-RLHF-LoRA
用RLHF可选LoRA对LLaMA和MOSS进行训练|Training LLaMA or MOSS with RLHF [LoRA]
Miraclemarvel55/ChatGLM-RLHF
对ChatGLM直接使用RLHF提升或降低目标输出概率|Modify ChatGLM output with only RLHF
xuchenglin28/speaker_extraction
target speaker extraction and verification for multi-talker speech
BUTSpeechFIT/speakerbeam
asteroid-team/asteroid
The PyTorch-based audio source separation toolkit for researchers
JusperLee/Dual-Path-RNN-Pytorch
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
etzinis/optimal_condition_training
Code and data recipes for the paper: Optimal Condition Training for Target Source Separation by Efthymios Tzinis, Gordon Wichern, Paris Smaragdis and Jonathan Le Roux
tky823/DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
csukuangfj/kaldilm
Python wrapper for kaldi's arpa2fst
facebookresearch/svoice
We provide a PyTorch implementation of the paper Voice Separation with an Unknown Number of Multiple Speakers In which, we present a new method for separating a mixed audio sequence, in which multiple voices speak simultaneously. The new method employs gated neural networks that are trained to separate the voices at multiple processing steps, while maintaining the speaker in each output channel fixed. A different model is trained for every number of possible speakers, and the model with the largest number of speakers is employed to select the actual number of speakers in a given sample. Our method greatly outperforms the current state of the art, which, as we show, is not competitive for more than two speakers.
xiph/rnnoise
Recurrent neural network for audio noise reduction
resemble-ai/Resemblyzer
A python package to analyze and compare voices with deep learning
dawnlh/awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
GantMan/nsfw_model
Keras model of NSFW detector
THUDM/ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
ggerganov/llama.cpp
LLM inference in C/C++
karpathy/llama2.c
Inference Llama 2 in one file of pure C
DroidAITech/ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
DUOMO/TransGPT
IDEA-CCNL/Fengshenbang-LM
Fengshenbang-LM(封神榜大模型)是IDEA研究院认知计算与自然语言研究中心主导的大模型开源体系,成为中文AIGC和认知智能的基础设施。