hkchengrex/Cutie
[arXiv 2023] Putting the Object Back Into Video Object Segmentation
Language: Python
#computer_vision #deep_learning #pytorch #segmentation #video_editing #video_object_segmentation #video_segmentation
Stars: 123 Issues: 1 Forks: 12
https://github.com/hkchengrex/Cutie
[arXiv 2023] Putting the Object Back Into Video Object Segmentation
Language: Python
#computer_vision #deep_learning #pytorch #segmentation #video_editing #video_object_segmentation #video_segmentation
Stars: 123 Issues: 1 Forks: 12
https://github.com/hkchengrex/Cutie
GitHub
GitHub - hkchengrex/Cutie: [CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation
[CVPR 2024 Highlight] Putting the Object Back Into Video Object Segmentation - hkchengrex/Cutie
netease-youdao/EmotiVoice
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
Language: Python
#ai #deep_learning #emotion #emotivoice #multi_speaker #prompt #python #pytorch #speech #speech_synthesis #style #text_to_speech #tts
Stars: 432 Issues: 3 Forks: 38
https://github.com/netease-youdao/EmotiVoice
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
Language: Python
#ai #deep_learning #emotion #emotivoice #multi_speaker #prompt #python #pytorch #speech #speech_synthesis #style #text_to_speech #tts
Stars: 432 Issues: 3 Forks: 38
https://github.com/netease-youdao/EmotiVoice
GitHub
GitHub - netease-youdao/EmotiVoice: EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine
EmotiVoice 😊: a Multi-Voice and Prompt-Controlled TTS Engine - netease-youdao/EmotiVoice
kyegomez/MultiModalMamba
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
Language: Python
#ai #artificial_intelligence #attention_mechanism #machine_learning #mamba #ml #pytorch #ssm #torch #transformer_architecture #transformers #zeta
Stars: 264 Issues: 0 Forks: 9
https://github.com/kyegomez/MultiModalMamba
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever.
Language: Python
#ai #artificial_intelligence #attention_mechanism #machine_learning #mamba #ml #pytorch #ssm #torch #transformer_architecture #transformers #zeta
Stars: 264 Issues: 0 Forks: 9
https://github.com/kyegomez/MultiModalMamba
GitHub
GitHub - kyegomez/MultiModalMamba: A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi…
A novel implementation of fusing ViT with Mamba into a fast, agile, and high performance Multi-Modal Model. Powered by Zeta, the simplest AI framework ever. - kyegomez/MultiModalMamba
apple/ml-aim
This repository provides the code and model checkpoints of the research paper: Scalable Pre-training of Large Autoregressive Image Models
Language: Python
#jax #large_scale_vision_models #mlx #pytorch
Stars: 181 Issues: 1 Forks: 8
https://github.com/apple/ml-aim
This repository provides the code and model checkpoints of the research paper: Scalable Pre-training of Large Autoregressive Image Models
Language: Python
#jax #large_scale_vision_models #mlx #pytorch
Stars: 181 Issues: 1 Forks: 8
https://github.com/apple/ml-aim
GitHub
GitHub - apple/ml-aim: This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects.
This repository provides the code and model checkpoints for AIMv1 and AIMv2 research projects. - apple/ml-aim
google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
Language: Python
#gemma #google #pytorch
Stars: 1126 Issues: 4 Forks: 53
https://github.com/google/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
Language: Python
#gemma #google #pytorch
Stars: 1126 Issues: 4 Forks: 53
https://github.com/google/gemma_pytorch
GitHub
GitHub - google/gemma_pytorch: The official PyTorch implementation of Google's Gemma models
The official PyTorch implementation of Google's Gemma models - google/gemma_pytorch
PaulPauls/llama3_interpretability_sae
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
Language: Python
#feature_extraction #feature_steering #llama3 #llm_interpretability #open_research #pytorch #sparse_autoencoder
Stars: 285 Issues: 0 Forks: 13
https://github.com/PaulPauls/llama3_interpretability_sae
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible.
Language: Python
#feature_extraction #feature_steering #llama3 #llm_interpretability #open_research #pytorch #sparse_autoencoder
Stars: 285 Issues: 0 Forks: 13
https://github.com/PaulPauls/llama3_interpretability_sae
GitHub
GitHub - PaulPauls/llama3_interpretability_sae: A complete end-to-end pipeline for LLM interpretability with sparse autoencoders…
A complete end-to-end pipeline for LLM interpretability with sparse autoencoders (SAEs) using Llama 3.2, written in pure PyTorch and fully reproducible. - PaulPauls/llama3_interpretability_sae
zhihu/ZhiLight
A highly optimized inference acceleration engine for Llama and its variants.
Language: C++
#cpm #cuda #gpt #inference_engine #llama #llm #llm_serving #minicpm #pytorch #qwen
Stars: 192 Issues: 1 Forks: 16
https://github.com/zhihu/ZhiLight
A highly optimized inference acceleration engine for Llama and its variants.
Language: C++
#cpm #cuda #gpt #inference_engine #llama #llm #llm_serving #minicpm #pytorch #qwen
Stars: 192 Issues: 1 Forks: 16
https://github.com/zhihu/ZhiLight
GitHub
GitHub - zhihu/ZhiLight: A highly optimized LLM inference acceleration engine for Llama and its variants.
A highly optimized LLM inference acceleration engine for Llama and its variants. - zhihu/ZhiLight
facebookresearch/large_concept_model
Large Concept Models: Language modeling in a sentence representation space
Language: Python
#language_models #nlp #pytorch #seq2seq #sequence_to_sequence
Stars: 340 Issues: 0 Forks: 27
https://github.com/facebookresearch/large_concept_model
Large Concept Models: Language modeling in a sentence representation space
Language: Python
#language_models #nlp #pytorch #seq2seq #sequence_to_sequence
Stars: 340 Issues: 0 Forks: 27
https://github.com/facebookresearch/large_concept_model
GitHub
GitHub - facebookresearch/large_concept_model: Large Concept Models: Language modeling in a sentence representation space
Large Concept Models: Language modeling in a sentence representation space - facebookresearch/large_concept_model
MoonshotAI/MoBA
MoBA: Mixture of Block Attention for Long-Context LLMs
Language: Python
#flash_attention #llm #llm_serving #llm_training #moe #pytorch #transformer
Stars: 521 Issues: 2 Forks: 16
https://github.com/MoonshotAI/MoBA
MoBA: Mixture of Block Attention for Long-Context LLMs
Language: Python
#flash_attention #llm #llm_serving #llm_training #moe #pytorch #transformer
Stars: 521 Issues: 2 Forks: 16
https://github.com/MoonshotAI/MoBA
GitHub
GitHub - MoonshotAI/MoBA: MoBA: Mixture of Block Attention for Long-Context LLMs
MoBA: Mixture of Block Attention for Long-Context LLMs - MoonshotAI/MoBA
babycommando/neuralgraffiti
Live-bending a foundation model’s output at neural network level.
Language: Jupyter Notebook
#finetuning #liquid_neural_networks #llm #neural_network #pytorch #self_attention #transformers
Stars: 217 Issues: 0 Forks: 16
https://github.com/babycommando/neuralgraffiti
Live-bending a foundation model’s output at neural network level.
Language: Jupyter Notebook
#finetuning #liquid_neural_networks #llm #neural_network #pytorch #self_attention #transformers
Stars: 217 Issues: 0 Forks: 16
https://github.com/babycommando/neuralgraffiti
GitHub
GitHub - babycommando/neuralgraffiti: Live-bending a foundation model’s output at neural network level.
Live-bending a foundation model’s output at neural network level. - babycommando/neuralgraffiti