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University of California San Diego
- La Jolla, CA, US
- https://nyxflower.com/about/
- @Nyx_Flower
- in/hxu999
- https://scholar.google.ca/citations?user=5WoBm1gAAAAJ
Highlights
- Pro
Stars
docker / mcp-servers
Forked from modelcontextprotocol/serversModel Context Protocol Servers
MathVista: data, code, and evaluation for Mathematical Reasoning in Visual Contexts
This is the first paper to explore how to effectively use RL for MLLMs and introduce Vision-R1, a reasoning MLLM that leverages cold-start initialization and RL training to incentivize reasoning ca…
Oh my tmux! My self-contained, pretty & versatile tmux configuration made with 💛🩷💙🖤❤️🤍
Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.
The AI Scientist: Towards Fully Automated Open-Ended Scientific Discovery 🧑🔬
A more memory-efficient rewrite of the HF transformers implementation of Llama for use with quantized weights.
An tandem mass spectrometry (MS/MS) sequence database search tool.
MS²PIP: Fast and accurate peptide spectrum prediction for multiple fragmentation methods, instruments, and labeling techniques.
A curated list of projects related to the reMarkable tablet
Sync papers from Zotero to a reMarkable tablet
Free and open source manga reader for iOS and iPadOS
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities
A feature-rich command-line audio/video downloader
Generative Agents: Interactive Simulacra of Human Behavior
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Official Code for DragGAN (SIGGRAPH 2023)
High-Resolution Image Synthesis with Latent Diffusion Models
深度学习辅助漫画翻译工具, 支持一键机翻和简单的图像/文本编辑 | Yet another computer-aided comic/manga translation tool powered by deeplearning
wangyu-ustc / PETER
Forked from lileipisces/PETERACL'21 Oral, Personalized Transformer for Explainable Recommendation
Chat with your documents on your local device using GPT models. No data leaves your device and 100% private.
Gorilla: Training and Evaluating LLMs for Function Calls (Tool Calls)