adaptAwesome Domain Adaptation Python Toolbox
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Clan( CVPR2019 Oral ) Taking A Closer Look at Domain Shift: Category-level Adversaries for Semantics Consistent Domain Adaptation
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RASAISTATS 2019: Reference-based Adversarial Sampling & Its applications to Soft Q-learning
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SimPLECode for the paper: "SimPLE: Similar Pseudo Label Exploitation for Semi-Supervised Classification"
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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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image-background-remove-tool✂️ Automated high-quality background removal framework for an image using neural networks. ✂️
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Warehouse Robot Path PlanningA multi agent path planning solution under a warehouse scenario using Q learning and transfer learning.🤖️
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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…
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sparsezooNeural network model repository for highly sparse and sparse-quantized models with matching sparsification recipes
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wechselCode for WECHSEL: Effective initialization of subword embeddings for cross-lingual transfer of monolingual language models.
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paper annotationsA place to keep track of all the annotated papers.
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ulm-basenetImplementation of ULMFit algorithm for text classification via transfer learning
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deep-learningProjects include the application of transfer learning to build a convolutional neural network (CNN) that identifies the artist of a painting, the building of predictive models for Bitcoin price data using Long Short-Term Memory recurrent neural networks (LSTMs) and a tutorial explaining how to build two types of neural network using as input the…
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Transferable-E2E-ABSATransferable End-to-End Aspect-based Sentiment Analysis with Selective Adversarial Learning (EMNLP'19)
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ProteinLMProtein Language Model
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TransTQAAuthor: Wenhao Yu (
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neuro-evolutionA project on improving Neural Networks performance by using Genetic Algorithms.
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collateral-learningCollateral Learning - Functional Encryption and Adversarial Training on partially encrypted networks
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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.
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udacity-cvnd-projectsMy solutions to the projects assigned for the Udacity Computer Vision Nanodegree
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favorite-research-papersListing my favorite research papers 📝 from different fields as I read them.
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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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sign2textReal-time AI-powered translation of American sign language to text
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CPCE-3DLow-dose CT via Transfer Learning from a 2D Trained Network, In IEEE TMI 2018
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transfer-learning-text-tfTensorflow implementation of Semi-supervised Sequence Learning (https://arxiv.org/abs/1511.01432)
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Context-TransformerContext-Transformer: Tackling Object Confusion for Few-Shot Detection, AAAI 2020
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backpropBackprop makes it simple to use, finetune, and deploy state-of-the-art ML models.
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MoeFlowRepository for anime characters recognition website, powered by TensorFlow
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TransferSegUnseen Object Segmentation in Videos via Transferable Representations, ACCV 2018 (oral)
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ATA-GANDemo code for Attention-Aware Generative Adversarial Networks paper
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cozmo-tensorflow🤖 Cozmo the Robot recognizes objects with TensorFlow
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nih-chest-xraysA collection of projects which explore image classification on chest x-ray images (via the NIH dataset)
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