Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
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Updated
Oct 19, 2024 - HTML
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
mPLUG-Owl: The Powerful Multi-modal Large Language Model Family
Ui.Vision Open-Source RPA Software - Robotic Process Automation with Computer Vision and OCR, Selenium IDE compatible.
Official PyTorch Implementation of MambaVision: A Hybrid Mamba-Transformer Vision Backbone
[ICLR 2024] Official PyTorch implementation of FasterViT: Fast Vision Transformers with Hierarchical Attention
Programming Assignments and Lectures for Stanford's CS 231: Convolutional Neural Networks for Visual Recognition
Classify images offline using Watson Visual Recognition and Core ML
Official PyTorch implementation of Fully Attentional Networks
My assignment solutions for CS231n - Convolutional Neural Networks for Visual Recognition
[ICML 2023] Official PyTorch implementation of Global Context Vision Transformers
Complete Assignments for CS231n: Convolutional Neural Networks for Visual Recognition
📷 Visual regression test tool.
Custom Object Detection with TensorFlow
Shortest solutions for CS231n 2021-2024
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)
GPT4Vis: What Can GPT-4 Do for Zero-shot Visual Recognition?
Multimodal Prompting with Missing Modalities for Visual Recognition, CVPR'23
Deep Isometric Learning for Visual Recognition (ICML 2020)
Improving Generalization via Scalable Neighborhood Component Analysis
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