GAIR-NLP/factool
FacTool: Factuality Detection in Generative AI
Language: Python
#fact_checking #generative_ai #large_language_models
Stars: 262 Issues: 3 Forks: 14
https://github.com/GAIR-NLP/factool
FacTool: Factuality Detection in Generative AI
Language: Python
#fact_checking #generative_ai #large_language_models
Stars: 262 Issues: 3 Forks: 14
https://github.com/GAIR-NLP/factool
GitHub
GitHub - GAIR-NLP/factool: FacTool: Factuality Detection in Generative AI
FacTool: Factuality Detection in Generative AI. Contribute to GAIR-NLP/factool development by creating an account on GitHub.
google/break-a-scene
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]
Language: Python
#deep_learning #diffusion_models #generative_ai #multimodal #text_to_image
Stars: 164 Issues: 1 Forks: 4
https://github.com/google/break-a-scene
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023]
Language: Python
#deep_learning #diffusion_models #generative_ai #multimodal #text_to_image
Stars: 164 Issues: 1 Forks: 4
https://github.com/google/break-a-scene
GitHub
GitHub - google/break-a-scene: Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH…
Official implementation for "Break-A-Scene: Extracting Multiple Concepts from a Single Image" [SIGGRAPH Asia 2023] - google/break-a-scene
fill3d/fill
Generative fill in 3D.
Language: TypeScript
#3d_rendering #fxnai #generative_ai #generative_fill
Stars: 281 Issues: 3 Forks: 10
https://github.com/fill3d/fill
Generative fill in 3D.
Language: TypeScript
#3d_rendering #fxnai #generative_ai #generative_fill
Stars: 281 Issues: 3 Forks: 10
https://github.com/fill3d/fill
GitHub
GitHub - fill3d/fill: Generative fill in 3D.
Generative fill in 3D. Contribute to fill3d/fill development by creating an account on GitHub.
aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
#awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language
Stars: 332 Issues: 0 Forks: 57
https://github.com/aishwaryanr/awesome-generative-ai-guide
A one stop repository for generative AI research updates, interview resources, notebooks and much more!
#awesome #awesome_list #generative_ai #interview_questions #large_language_models #llms #notebook_jupyter #vision_and_language
Stars: 332 Issues: 0 Forks: 57
https://github.com/aishwaryanr/awesome-generative-ai-guide
GitHub
GitHub - aishwaryanr/awesome-generative-ai-guide: A one stop repository for generative AI research updates, interview resources…
A one stop repository for generative AI research updates, interview resources, notebooks and much more! - aishwaryanr/awesome-generative-ai-guide
databricks/dbrx
Code examples and resources for DBRX, a large language model developed by Databricks
Language: Python
#databricks #gen_ai #generative_ai #llm #llm_inference #llm_training #mosaic_ai
Stars: 1113 Issues: 7 Forks: 86
https://github.com/databricks/dbrx
Code examples and resources for DBRX, a large language model developed by Databricks
Language: Python
#databricks #gen_ai #generative_ai #llm #llm_inference #llm_training #mosaic_ai
Stars: 1113 Issues: 7 Forks: 86
https://github.com/databricks/dbrx
GitHub
GitHub - databricks/dbrx: Code examples and resources for DBRX, a large language model developed by Databricks
Code examples and resources for DBRX, a large language model developed by Databricks - databricks/dbrx
miurla/morphic
An AI-powered answer engine with a generative UI
Language: TypeScript
#generative_ai #generative_ui #nextjs #react #shadcn_ui #tailwindcss #typescript #vercel_ai_sdk
Stars: 776 Issues: 10 Forks: 117
https://github.com/miurla/morphic
An AI-powered answer engine with a generative UI
Language: TypeScript
#generative_ai #generative_ui #nextjs #react #shadcn_ui #tailwindcss #typescript #vercel_ai_sdk
Stars: 776 Issues: 10 Forks: 117
https://github.com/miurla/morphic
GitHub
GitHub - miurla/morphic: An AI-powered search engine with a generative UI
An AI-powered search engine with a generative UI. Contribute to miurla/morphic development by creating an account on GitHub.
buaacyw/MeshAnything
From anything to mesh like human artists
Language: Python
#3d #generative_ai #generative_model #mesh #mesh_generation #transformer
Stars: 405 Issues: 1 Forks: 12
https://github.com/buaacyw/MeshAnything
From anything to mesh like human artists
Language: Python
#3d #generative_ai #generative_model #mesh #mesh_generation #transformer
Stars: 405 Issues: 1 Forks: 12
https://github.com/buaacyw/MeshAnything
GitHub
GitHub - buaacyw/MeshAnything: [ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created…
[ICLR 2025] From anything to mesh like human artists. Official impl. of "MeshAnything: Artist-Created Mesh Generation with Autoregressive Transformers" - buaacyw/MeshAnything
declare-lab/TangoFlux
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching
Language: Jupyter Notebook
#flow_matching #generative_ai #text_to_audio #text_to_audio_ai #tta
Stars: 152 Issues: 2 Forks: 13
https://github.com/declare-lab/TangoFlux
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching
Language: Jupyter Notebook
#flow_matching #generative_ai #text_to_audio #text_to_audio_ai #tta
Stars: 152 Issues: 2 Forks: 13
https://github.com/declare-lab/TangoFlux
GitHub
GitHub - declare-lab/TangoFlux: TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching
TangoFlux: Super Fast and Faithful Text to Audio Generation with Flow Matching - declare-lab/TangoFlux
KalyanKS-NLP/rag-zero-to-hero-guide
Comprehensive guide to learn RAG from basics to advanced.
Language: Jupyter Notebook
#ai_engineer #generative_ai #large_language_models #llm_engineer #llm_rag #llms #retrieval_augmented_generation
Stars: 344 Issues: 0 Forks: 89
https://github.com/KalyanKS-NLP/rag-zero-to-hero-guide
Comprehensive guide to learn RAG from basics to advanced.
Language: Jupyter Notebook
#ai_engineer #generative_ai #large_language_models #llm_engineer #llm_rag #llms #retrieval_augmented_generation
Stars: 344 Issues: 0 Forks: 89
https://github.com/KalyanKS-NLP/rag-zero-to-hero-guide
GitHub
GitHub - KalyanKS-NLP/rag-zero-to-hero-guide: Comprehensive guide to learn RAG from basics to advanced.
Comprehensive guide to learn RAG from basics to advanced. - GitHub - KalyanKS-NLP/rag-zero-to-hero-guide: Comprehensive guide to learn RAG from basics to advanced.
dipampaul17/KVSplit
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.
Language: Python
#apple_silicon #generative_ai #kv_cache #llama_cpp #llm #m1 #m2 #m3 #memory_optimization #metal #optimization #quantization
Stars: 222 Issues: 1 Forks: 5
https://github.com/dipampaul17/KVSplit
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with <1% quality loss. Includes benchmarking, visualization, and one-command setup. Optimized for M1/M2/M3 Macs with Metal support.
Language: Python
#apple_silicon #generative_ai #kv_cache #llama_cpp #llm #m1 #m2 #m3 #memory_optimization #metal #optimization #quantization
Stars: 222 Issues: 1 Forks: 5
https://github.com/dipampaul17/KVSplit
GitHub
GitHub - dipampaul17/KVSplit: Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache…
Run larger LLMs with longer contexts on Apple Silicon by using differentiated precision for KV cache quantization. KVSplit enables 8-bit keys & 4-bit values, reducing memory by 59% with &am...