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The first challenge on short-form video quality assessment
The AI Scientist-v2: Workshop-Level Automated Scientific Discovery via Agentic Tree Search
✔（已完结）最全面的 深度学习 笔记【土堆 Pytorch】【李沐 动手学深度学习】【吴恩达 深度学习】
InstantMesh: Efficient 3D Mesh Generation from a Single Image with Sparse-view Large Reconstruction Models
Solve Visual Understanding with Reinforced VLMs
Use PEFT or Full-parameter to CPT/SFT/DPO/GRPO 500+ LLMs (Qwen2.5, Llama4, InternLM3, GLM4, Mistral, Yi1.5, DeepSeek-R1, ...) and 200+ MLLMs (Qwen2.5-VL, Qwen2.5-Omni, Qwen2-Audio, Ovis2, InternVL3…
Ongoing research training transformer models at scale
An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.
Stable Diffusion and Flux in pure C/C++
Build a bridge that connects beginners to deep reinforcement learning.
[EMNLP-2024] ⚓️ Sailor: Open Language Models for South-East Asia
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Source File of My Book related to WebSpider
Large Language Model Text Generation Inference
A cross-platform Markdown note-taking application dedicated to using AI to bridge recording and writing, organizing fragmented knowledge into a readable note.
High-speed Large Language Model Serving for Local Deployment
Awesome LLMs on Device: A Comprehensive Survey
ASCII generator (image to text, image to image, video to video)
Tensors and Dynamic neural networks in Python with strong GPU acceleration
torch::deploy (multipy for non-torch uses) is a system that lets you get around the GIL problem by running multiple Python interpreters in a single C++ process.