Deep-LearningIt contains the coursework and the practice I have done while learning Deep Learning.🚀 👨💻💥 🚩🌈
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Skin Lesions Classification DCNNsTransfer Learning with DCNNs (DenseNet, Inception V3, Inception-ResNet V2, VGG16) for skin lesions classification
Stars: ✭ 47 (-18.97%)
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (+39.66%)
fiap-ml-visao-computacionalRepositório dos exemplos e desafios utilizados na disciplina de Visão Computacional do curso de MBA Machine Learning da FIAP
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nlp workshop odsc europe20Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage machine learning, deep learning and deep transfer learning to learn and solve popular tasks using NLP including NER, Classification, Recommendation \ Information Retrieval, Summarization, Classification, Language Translation, Q&A and T…
Stars: ✭ 127 (+118.97%)
ATA-GANDemo code for Attention-Aware Generative Adversarial Networks paper
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temporal-sslVideo Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
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SimPLECode for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
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clean-netTensorflow source code for "CleanNet: Transfer Learning for Scalable Image Classifier Training with Label Noise" (CVPR 2018)
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DeeppicarDeep Learning Autonomous Car based on Raspberry Pi, SunFounder PiCar-V Kit, TensorFlow, and Google's EdgeTPU Co-Processor
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brand-sentiment-analysisScripts utilizing Heartex platform to build brand sentiment analysis from the news
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TransferSegUnseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
Stars: ✭ 229 (+294.83%)
nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
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sparsezooNeural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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pykaleKnowledge-Aware machine LEarning (KALE): accessible machine learning from multiple sources for interdisciplinary research, part of the 🔥PyTorch ecosystem
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Clan( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
Stars: ✭ 248 (+327.59%)
cups-rlCustomisable Unified Physical Simulations (CUPS) for Reinforcement Learning. Experiments run on the ai2thor environment (http://ai2thor.allenai.org/) e.g. using A3C, RainbowDQN and A3C_GA (Gated Attention multi-modal fusion) for Task-Oriented Language Grounding (tasks specified by natural language instructions) e.g. "Pick up the Cup or else"
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BA3UScode for our ECCV 2020 paper "A Balanced and Uncertainty-aware Approach for Partial Domain Adaptation"
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GamA PyTorch implementation of "Graph Classification Using Structural Attention" (KDD 2018).
Stars: ✭ 227 (+291.38%)
sign2textReal-time AI-powered translation of American sign language to text
Stars: ✭ 132 (+127.59%)
Transfer Learning SuiteTransfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!
Stars: ✭ 212 (+265.52%)
image-background-remove-tool✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
Stars: ✭ 767 (+1222.41%)
oreilly-bert-nlpThis repository contains code for the O'Reilly Live Online Training for BERT
Stars: ✭ 19 (-67.24%)
NeuralNetworksImplementation of a Neural Network that can detect whether a video is in-game or not
Stars: ✭ 64 (+10.34%)
neuro-evolutionA project on improving Neural Networks performance by using Genetic Algorithms.
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wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
Stars: ✭ 39 (-32.76%)
cozmo-tensorflow🤖 Cozmo the Robot recognizes objects with TensorFlow
Stars: ✭ 61 (+5.17%)
Land-Cover-Classification-using-Sentinel-2-DatasetApplication of deep learning on Satellite Imagery of Sentinel-2 satellite that move around the earth from June, 2015. This image patches can be trained and classified using transfer learning techniques.
Stars: ✭ 36 (-37.93%)
mrnetBuilding an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)
Stars: ✭ 98 (+68.97%)
udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
Stars: ✭ 36 (-37.93%)
transfer-learning-text-tfTensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
Stars: ✭ 82 (+41.38%)
Face.evolve.pytorch🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥
Stars: ✭ 2,719 (+4587.93%)
transfertoolsPython toolbox for transfer learning.
Stars: ✭ 22 (-62.07%)
self-driving-carImplementation of the paper "End to End Learning for Self-Driving Cars"
Stars: ✭ 54 (-6.9%)
TA3N[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)
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dbclfIdentify Dog Breeds Android App
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Retrieval 2017 CamClass-Weighted Convolutional Features for Image Retrieval (BMVC 2017)
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object detectionImplementatoin of object detection using Tensorflow 2.1.0 | this can be use in a car for object detection
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ProteinLMProtein Language Model
Stars: ✭ 76 (+31.03%)
meta-learning-progressRepository to track the progress in Meta-Learning (MtL), including the datasets and the current state-of-the-art for the most common MtL problems.
Stars: ✭ 26 (-55.17%)
Warehouse Robot Path PlanningA multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
Stars: ✭ 59 (+1.72%)
ulm-basenetImplementation of ULMFit algorithm for text classification via transfer learning
Stars: ✭ 94 (+62.07%)