SD.Next supports broad range of models: supported models and model specs. Plus Docker container receipes for: CUDA, ROCm, Intel IPEX and OpenVINO. If you run into issues, check …

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VLAD (Vector of Local Aggregated Descriptors)，是图像特征提取方法的一种。 这里提到的VLAD算是特征提取函数 f 的一种，可简称为 f_ {vlad} 。 但VLAD方法如其描述——局部聚类向量，将局部特征聚类得到一个向量。 所以VLAD应用的前提是要先获得图像的局部特征。 图像局部特征可以用 SIFT， SURF， ORB 等一般方法，也可以通过当前流行的CNN方法提取。 假设一张图像，提取了N个D维特征（通常N可能比较大，不同图片，其特征数N也可能不同），Vlad计算 …

I’m an n-th year PhD student in Data Science at New York University advised by Yann LeCun and Kyunghyun Cho. I’m also currently a visiting researcher at Meta AI Research. I’m broadly interested in representation learning, world models, planning, reinforcement learning, and autonomous vehicles. I’m on the job market!

2024年7月16日 · Phi-2 is a 2.7 billion parameter Transformer-based model designed for tasks involving common sense reasoning, language understanding, logical reasoning, and Python code generation. It has been trained on a blend of NLP synthetic texts, filtered web data, and teaching-focused datasets.

2022年7月29日 · I’m Vlad, the founder of Machinet, where we apply AI to create software. This blog is a mirror of my thoughts, of what chases my brain day and night. For as long as I recall, AI has been one...

VLAD's main goal is to provide a task-agnostic anomaly detection algorithm that can be used in a lifelong learning setting. Main class containing VLAD algorithm is available in our.py module. In this repository, VLAD is named as OurModel.

2023年4月24日 · STABLE DIFFUSION VLAD. Upcoming release of Stable Diffusion Vlad for windows and mac, will bring a ton of advancements. Check out this video and also do check how to install the Vlad Stable Diffusion below.