Digital Image Processing Python
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python
TO-DO:
- Refactor scripts, currently they just work
- Document
- Add argparse
- Improve complexity
MATLAB codes of the book "Digital Image Processing Fourth Edition" converted to Python
Overview
Official implementation for TTT++: When Does Self-supervised Test-time Training Fail or Thrive
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TalkNet 2: Non-Autoregressive Depth-Wise Separable Convolutional Model for Speech Synthesis with Explicit Pitch and Duration Prediction.
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LVI-SAM: Tightly-coupled Lidar-Visual-Inertial Odometry via Smoothing and Mapping
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Official repo of the paper "Surface Form Competition: Why the Highest Probability Answer Isn't Always Right"
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46 Dec 23, 2022
https://sites.google.com/cornell.edu/recsys2021tutorial
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FuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space OptimizationFuseDream: Training-Free Text-to-Image Generationwith Improved CLIP+GAN Space Optimization
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191 Dec 31, 2022
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610 Jan 05, 2023
Code for One-shot Talking Face Generation from Single-speaker Audio-Visual Correlation Learning (AAAI 2022)
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Colar: Effective and Efficient Online Action Detection by Consulting Exemplars, CVPR 2022.
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Node-level Graph Regression with Deep Gaussian Process Models
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[KDD 2021, Research Track] DiffMG: Differentiable Meta Graph Search for Heterogeneous Graph Neural Networks
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Systematic generalisation with group invariant predictions
Requirements are Python 3, TensorFlow v1.14, Numpy, Scipy, Scikit-Learn, Matplotlib, Pillow, Scikit-Image, h5py, tqdm. Experiments were run on V100 GPUs (16 and 32GB).
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EgGateWayGetShell py脚本
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High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features
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Torch implementation of SegNet and deconvolutional network
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ManiSkill-Learn is a framework for training agents on SAPIEN Open-Source Manipulation Skill Challenge (ManiSkill Challenge), a large-scale learning-from-demonstrations benchmark for object manipulation.
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