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FlashMLA: Efficient Multi-head Latent Attention Kernels - deepseek-ai/FlashMLA

We’re on a journey to advance and democratize artificial intelligence through open source and open science.

Five voices: Mykyta, Oleksa, Lada, Kateryna or Tetiana

🇺🇦 Speech Recognition & Synthesis for Ukrainian. Contribute to egorsmkv/speech-recognition-uk development by creating an account on GitHub.

Efficient few-shot learning with Sentence Transformers - huggingface/setfit

Modern deep learning models, such as large language models (LLMs), are heavily constrained by memory bandwidth. GPUs can execute floating-point operations (FLOPs) much faster than they can fetch weights from memory. For instance, an NVIDIA A10 has a peak…

A Blog post by Steven Zheng on Hugging Face

Spiky notes on computational neuroscience and biology 🔬🧬 ML / AI / AGI.
Let’s compute and fire together — so we can wire up cross-disciplinary topics.

This app detects objects in real-time video streams. Users provide a live video feed, and the app highlights detected objects with confidence scores.

Papers from the computer science community to read and discuss. - papers-we-love/papers-we-love

This manuscript gives a big-picture, up-to-date overview of the field of (deep) reinforcement learning and sequential decision making, covering value-based methods, policy-based methods,...