microsoft/TRELLIS.2
2,083 分
Intel · 情報源
Intel 情報源
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Saravutw/WAN2.2_I2V_LIGHTNING_4-8step_custom
272 分From DeepSeek V3 to V3.2: Architecture, Sparse Attention, and RL Updates
Understanding How DeepSeek's Flagship Open-Weight Models Evolved
作者 Sebastian Raschka, PhDmrfakename/Z-Image-Turbo
3,803 分black-forest-labs/FLUX.2-dev
1,112 分facebook/sam3
3,077 分Beyond Standard LLMs
Linear Attention Hybrids, Text Diffusion, Code World Models, and Small Recursive Transformers
作者 Sebastian Raschka, PhDr3gm/wan2-2-fp8da-aoti-preview
3,046 分Understanding the 4 Main Approaches to LLM Evaluation (From Scratch)
Multiple-Choice Benchmarks, Verifiers, Leaderboards, and LLM Judges with Code Examples
作者 Sebastian Raschka, PhDopenbmb/VoxCPM-Demo
755 分Understanding and Implementing Qwen3 From Scratch
A Detailed Look at One of the Leading Open-Source LLMs
作者 Sebastian Raschka, PhDFrom GPT-2 to gpt-oss: Analyzing the Architectural Advances
And How They Stack Up Against Qwen3
作者 Sebastian Raschka, PhDzerogpu-aoti/wan2-2-fp8da-aoti-faster
3,468 分The Big LLM Architecture Comparison
From DeepSeek-V3 to Kimi K2: A Look At Modern LLM Architecture Design
作者 Sebastian Raschka, PhDmalcolmrey/browser
433 分LLM Research Papers: The 2025 List (January to June)
A topic-organized collection of 200+ LLM research papers from 2025
作者 Sebastian Raschka, PhDpyannote/speaker-diarization-community-1
1,607 分black-forest-labs/FLUX.1-dev
14,570 分nanotron/ultrascale-playbook
4,031 分DontPlanToEnd/UGI-Leaderboard
2,038 分facebook/mms-300m
455 分openai/clip-vit-base-patch32
1,349 分sentence-transformers/all-MiniLM-L6-v2
5,825 分distilbert/distilbert-base-uncased
1,292 分openai-community/gpt2
3,942 分google-bert/bert-base-uncased
3,130 分