Paper Code:A Self-adaptive Weighted Differential Evolution Approach for Large-scale Feature Selection
Overview
Official codes: Self-Supervised Learning by Estimating Twin Class Distribution
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Checkout some cool self-projects you can try your hands on to curb your boredom this December!
SoC-Winter Checkout some cool self-projects you can try your hands on to curb your boredom this December! These are short projects that you can do you
Totally Versatile Miscellanea for Pytorch
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NL-Augmenter 🦎 → 🐍 A Collaborative Repository of Natural Language Transformations
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GLM (General Language Model)
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Code for Fully Context-Aware Image Inpainting with a Learned Semantic Pyramid
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Hyperbolic Procrustes Analysis Using Riemannian Geometry
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Lightweight, Python library for fast and reproducible experimentation :microscope:
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Python scripts form performing stereo depth estimation using the high res stereo model in PyTorch .
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Calculates carbon footprint based on fuel mix and discharge profile at the utility selected. Can create graphs and tabular output for fuel mix based on input file of series of power drawn over a period of time.
carbon-footprint-calculator Conda distribution ~/anaconda3/bin/conda install anaconda-client conda-build ~/anaconda3/bin/conda config --set anaconda_u
RIFE: Real-Time Intermediate Flow Estimation for Video Frame Interpolation
RIFE - Real Time Video Interpolation arXiv | YouTube | Colab | Tutorial | Demo Table of Contents Introduction Collection Usage Evaluation Training and
Knowledge Distillation Toolbox for Semantic Segmentation
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Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation
Identifying a Training-Set Attack’s Target Using Renormalized Influence Estimation By: Zayd Hammoudeh and Daniel Lowd Paper: Arxiv Preprint Coming soo
🔥 TensorFlow Code for technical report: "YOLOv3: An Incremental Improvement"
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Emotion Recognition from Facial Images
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NeurIPS 2021, "Fine Samples for Learning with Noisy Labels"
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This is the face keypoint train code of project face-detection-project
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Implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021).
[PDF] | [Slides] The official implementation of Learning Gradient Fields for Molecular Conformation Generation (ICML 2021 Long talk) Installation Inst
A python package simulating the quasi-2D pseudospin-1/2 Gross-Pitaevskii equation with NVIDIA GPU acceleration.
A python package simulating the quasi-2D pseudospin-1/2 Gross-Pitaevskii equation with NVIDIA GPU acceleration. Introduction spinor-gpe is high-level,
Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces
This repository contains source code for the paper Combining Latent Space and Structured Kernels for Bayesian Optimization over Combinatorial Spaces a