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Transformers with Arbitrarily Large Context
Enjoy the magic of Diffusion models!
Best inference performance optimization framework for HuggingFace Diffusers on NVIDIA GPUs.
A subset of PyTorch's neural network modules, written in Python using OpenAI's Triton.
FlashInfer: Kernel Library for LLM Serving
[NeurIPS 2023] We use large language models as commonsense world model and heuristic policy within Monte-Carlo Tree Search, enabling better-reasoned decision-making for daily task planning problems.
😎 Awesome Cloudflare Workers
Smart pointers for the (GNU) C programming language
Extending the HDF5 library to support intelligent I/O buffering for deep memory and storage hierarchy systems
DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model
TerminalTextEffects (TTE) is a terminal visual effects engine, application, and Python library.
The most powerful and modular diffusion model GUI, api and backend with a graph/nodes interface.
Finetune Llama 3.2, Mistral, Phi & Gemma LLMs 2-5x faster with 80% less memory
Hackable and optimized Transformers building blocks, supporting a composable construction.
An efficient GPU support for LLM inference with x-bit quantization (e.g. FP6,FP5).
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Generative 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, …
Curated list of useful LLM / Analytics / Datascience resources
Tools for merging pretrained large language models.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
A simple code for plotting figure, colorbar, and cropping with python