AidForBlind
Recommended PyCharm IDE
Various Libraries used like OpenCV and other mentioned in Requirements.txt
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Discord: VENGE4NCE#3847
New AidForBlind - Various Libraries used like OpenCV and other mentioned in Requirements.txt
Overview
Episodic-memory - Ego4D Episodic Memory Benchmark
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Code for Overinterpretation paper Overinterpretation reveals image classification model pathologies
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MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
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Official Repository for the ICCV 2021 paper "PixelSynth: Generating a 3D-Consistent Experience from a Single Image"
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Mixup for Supervision, Semi- and Self-Supervision Learning Toolbox and Benchmark
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Learning based AI for playing multi-round Koi-Koi hanafuda card games. Have fun.
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Real-time face detection and emotion/gender classification using fer2013/imdb datasets with a keras CNN model and openCV.
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Official repository of the AAAI'2022 paper "Contrast and Generation Make BART a Good Dialogue Emotion Recognizer"
CoG-BART Contrast and Generation Make BART a Good Dialogue Emotion Recognizer Quick Start: To run the model on test sets of four datasets, Download th
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AFL binary instrumentation
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[NeurIPS'21] Projected GANs Converge Faster
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An official source code for "Augmentation-Free Self-Supervised Learning on Graphs"
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This is the code for the paper "Jinkai Zheng, Xinchen Liu, Wu Liu, Lingxiao He, Chenggang Yan, Tao Mei: Gait Recognition in the Wild with Dense 3D Representations and A Benchmark. (CVPR 2022)"
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Kaggle-titanic - A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning techniques.
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Implementation of SETR model, Original paper: Rethinking Semantic Segmentation from a Sequence-to-Sequence Perspective with Transformers.
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Core ML tools contain supporting tools for Core ML model conversion, editing, and validation.
Core ML Tools Use coremltools to convert machine learning models from third-party libraries to the Core ML format. The Python package contains the sup
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PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
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This repository comes with the paper "On the Robustness of Counterfactual Explanations to Adverse Perturbations"
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NumQMBasic - A mini-course offered to Undergrad physics students
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