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🔥 2D and 3D Face alignment library build using pytorch

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YOLOv9: Learning What You Want to Learn Using Programmable Gradient Information

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DepGraph: Towards Any Structural Pruning;

💥SAM💥
💥LLMs💥
💥CNNs💥
💥YOLOv8💥
💥Diffusion💥
💥Transformers💥

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InstantID : Zero-shot Identity-Preserving Generation in Seconds 🔥

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GPT beats diffusion🔥
Scaling laws in visual generation📈

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InstantStyle : Free Lunch towards Style-Preserving in Text-to-Image Generation

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DEVA: 🔥Tracking Anything🔥with Decoupled Video Segmentation

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Qwen1.5 is the improved version of Qwen, the large language model series developed by Qwen team, Alibaba Cloud.

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ElasticDiffusion: Training-free Arbitrary Size Image Generation

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💥Understanding Deep Learning💥

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PixArt-Σ: Weak-to-Strong Training of Diffusion Transformer for 4K Text-to-Image Generation

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An Explainability Method for Vision Transformers via Feature Formation Sensitivity

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Karpathy released a new 💥tutorial💥 where he trains a LLM from scratch in pure C without PyTorch or cPython.

Starts with GPT-2 training on CPU/fp32 in only ~1,000 lines of clean code.

It compiles and runs instantly, and exactly matches the PyTorch reference implementation.

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💥Mini-Gemini💥

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💥WonderJourney: Going from Anywhere to Everywhere💥

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💥Real-Time Dwell Time Analysis💥

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SMART Counter System for Retail Shops

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SAM-PT: Extending SAM to zero-shot video segmentation with point-based tracking.

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A Large Language Model That Can Speak and Listen

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