enricoros/nextjs-chatgpt-app
💬 Responsive chat application powered by OpenAI's GPT-4, with response streaming, code highlighting, various presets for developers. Using Next.js, React, Joy.
Language: TypeScript
#application #chatgpt #generative_ai #gpt_4 #joyui #natural_language_processing #nextjs #react #webui
Stars: 551 Issues: 12 Forks: 64
https://github.com/enricoros/nextjs-chatgpt-app
  
  💬 Responsive chat application powered by OpenAI's GPT-4, with response streaming, code highlighting, various presets for developers. Using Next.js, React, Joy.
Language: TypeScript
#application #chatgpt #generative_ai #gpt_4 #joyui #natural_language_processing #nextjs #react #webui
Stars: 551 Issues: 12 Forks: 64
https://github.com/enricoros/nextjs-chatgpt-app
GitHub
  
  GitHub - enricoros/big-AGI: AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI…
  AI suite powered by state-of-the-art models and providing advanced AI/AGI functions. It features AI personas, AGI functions, multi-model chats, text-to-image, voice, response streaming, code highli...
👍2
  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.
👍4❤1
  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
👍2
  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.
🔥4
  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
🔥5👍1
  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.
❤1
  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
🔥4
  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...
  