jianliu-ml's Stars
ggerganov/llama.cpp
LLM inference in C/C++
freqtrade/freqtrade
Free, open source crypto trading bot
haotian-liu/LLaVA
[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.
karpathy/llama2.c
Inference Llama 2 in one file of pure C
THUDM/ChatGLM2-6B
ChatGLM2-6B: An Open Bilingual Chat LLM | 开源双语对话语言模型
nerfstudio-project/nerfstudio
A collaboration friendly studio for NeRFs
speechbrain/speechbrain
A PyTorch-based Speech Toolkit
fishaudio/Bert-VITS2
vits2 backbone with multilingual-bert
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。
xiph/rnnoise
Recurrent neural network for audio noise reduction
resemble-ai/Resemblyzer
A python package to analyze and compare voices with deep learning
DAMO-NLP-SG/Video-LLaMA
[EMNLP 2023 Demo] Video-LLaMA: An Instruction-tuned Audio-Visual Language Model for Video Understanding
Nate711/StanfordDoggoProject
Stanford Doggo is an open source quadruped robot that jumps, flips, and trots!
DroidAITech/ROS-Academy-for-Beginners
**大学MOOC《机器人操作系统入门》课程代码示例
asteroid-team/asteroid
The PyTorch-based audio source separation toolkit for researchers
SeanNaren/deepspeech.pytorch
Speech Recognition using DeepSpeech2.
GantMan/nsfw_model
Keras model of NSFW detector
dawnlh/awesome-low-light-image-enhancement
This is a resouce list for low light image enhancement
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.
DUOMO/TransGPT
JusperLee/Conv-TasNet
Conv-TasNet: Surpassing Ideal Time-Frequency Magnitude Masking for Speech Separation Pytorch's Implement
JusperLee/Dual-Path-RNN-Pytorch
Dual-path RNN: efficient long sequence modeling for time-domain single-channel speech separation implemented by Pytorch
tky823/DNN-based_source_separation
A PyTorch implementation of DNN-based source separation.
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
csukuangfj/kaldilm
Python wrapper for kaldi's arpa2fst
farisalasmary/deepspeech2-online-decoder
Online (real-time) decoder to be used with DeepSpeech2 model
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]
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