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
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  buaacyw/MeshAnythingV2
From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"
Language: Python
#3d #3d_generation #generative_model #mesh #transformers
Stars: 305 Issues: 3 Forks: 12
https://github.com/buaacyw/MeshAnythingV2
  
  From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization"
Language: Python
#3d #3d_generation #generative_model #mesh #transformers
Stars: 305 Issues: 3 Forks: 12
https://github.com/buaacyw/MeshAnythingV2
GitHub
  
  GitHub - buaacyw/MeshAnythingV2: [ICCV 2025] From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist…
  [ICCV 2025] From anything to mesh like human artists. Official impl. of "MeshAnything V2: Artist-Created Mesh Generation With Adjacent Mesh Tokenization" - buaacyw/MeshAnythingV2
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  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.
  zhaorw02/DeepMesh
Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Language: Python
#3d #aigc #dpo #generative_model #llm #mesh #mesh_generation #point_cloud
Stars: 254 Issues: 3 Forks: 8
https://github.com/zhaorw02/DeepMesh
  
  Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
Language: Python
#3d #aigc #dpo #generative_model #llm #mesh #mesh_generation #point_cloud
Stars: 254 Issues: 3 Forks: 8
https://github.com/zhaorw02/DeepMesh
GitHub
  
  GitHub - zhaorw02/DeepMesh: [ICCV 2025] Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning
  [ICCV 2025] Official code of DeepMesh: Auto-Regressive Artist-mesh Creation with Reinforcement Learning - zhaorw02/DeepMesh
  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...
  haidog-yaqub/MeanFlow
Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.
Language: Python
#diffusion_models #flow_matching #generative_model
Stars: 185 Issues: 4 Forks: 7
https://github.com/haidog-yaqub/MeanFlow
  
  Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.
Language: Python
#diffusion_models #flow_matching #generative_model
Stars: 185 Issues: 4 Forks: 7
https://github.com/haidog-yaqub/MeanFlow
GitHub
  
  GitHub - haidog-yaqub/MeanFlow: Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling"…
  Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al. - haidog-yaqub/MeanFlow
  NirDiamant/agents-towards-production
This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
Language: Jupyter Notebook
#agent #agent_framework #agents #ai_agents #genai #generative_ai #llm #llms #mlops #multi_agent #production #tool_integration #tutorials
Stars: 1422 Issues: 0 Forks: 141
https://github.com/NirDiamant/agents-towards-production
  
  This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for real-world launches.
Language: Jupyter Notebook
#agent #agent_framework #agents #ai_agents #genai #generative_ai #llm #llms #mlops #multi_agent #production #tool_integration #tutorials
Stars: 1422 Issues: 0 Forks: 141
https://github.com/NirDiamant/agents-towards-production
GitHub
  
  GitHub - NirDiamant/agents-towards-production: This repository delivers end-to-end, code-first tutorials covering every layer of…
  This repository delivers end-to-end, code-first tutorials covering every layer of production-grade GenAI agents, guiding you from spark to scale with proven patterns and reusable blueprints for re...
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