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Shattered Pixel Dungeon is an open-source traditional roguelike dungeon crawler with randomized levels and enemies, and hundreds of items to collect and use. It's based on the source code of Pixel …
Hallo: Hierarchical Audio-Driven Visual Synthesis for Portrait Image Animation
Hunyuan-DiT : A Powerful Multi-Resolution Diffusion Transformer with Fine-Grained Chinese Understanding
Analyzing and Improving the Training Dynamics of Diffusion Models (EDM2)
Enhanced ChatGPT Clone: Features OpenAI, Assistants API, Azure, Groq, GPT-4 Vision, Mistral, Bing, Anthropic, OpenRouter, Vertex AI, Gemini, AI model switching, message search, langchain, DALL-E-3,…
Confluent Kafka questions to practice for CCDAK
llama3.cuda is a pure C/CUDA implementation for Llama 3 model.
Manifold is a Java compiler plugin, its features include Metaprogramming, Properties, Extension Methods, Operator Overloading, Templates, a Preprocessor, and more.
Exercises and the validation scripts to determine if they are completed and successful
A Versatile and Robust SDXL-ControlNet Model for Adaptable Line Art Conditioning
sdbds / PhotoMaker-for-windows
Forked from TencentARC/PhotoMakerPhotoMaker
bmaltais / PhotoMaker
Forked from TencentARC/PhotoMakerPhotoMaker
Hackable and optimized Transformers building blocks, supporting a composable construction.
Finetune Llama 3, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
DevQualityEval: An evaluation benchmark 📈 and framework to compare and evolve the quality of code generation of LLMs.
A high performance caching library for Java
Free paraphrasing tool / article rewriter
Go ahead and axolotl questions
Convert Compute And Books Into Instruct-Tuning Datasets
Comparison of the output quality of quantization methods, using Llama 3, transformers, GGUF, EXL2.
🤯 Lobe Chat - an open-source, modern-design LLMs/AI chat framework. Supports Multi AI Providers( OpenAI / Claude 3 / Gemini / Ollama / Bedrock / Azure / Mistral / Perplexity ), Multi-Modals (Vision…
Practical low-rank gradient compression for distributed optimization: https://arxiv.org/abs/1905.13727