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• Reward is enough context : Improving Zero-Shot Generalization in Reinforcement Learning reinforcement-learning
• EEG-CLIP : Learning EEG representations from natural language descriptions computervision,constrastivelearning,textprocessing,EEG
• Unsupervised text recognition - a paper implementation computervision,unsupervisedlearning,textrecognition
  Text recognition is the task of retrieving written text in images. It consists of turning images of text into a numerical text format.
• Natural Language Processing : How do machines make sense of questions ? nlppythondata_science
• Generating automatic image descriptions : An encoder-decoder model with pytorch computer_visionencoder_decoder
  Image captioning, a field of study in image analysis, focuses on the ability of algorithms to describe the content of an image by a text, generally one or a few...
• A computer vision project: finding a photo on instagram using its description computer_visionreactpythondata_science
  Most image sharing sites take advantage of algorithms to quickly label and classify posted images. Instagram already applies image classification methods to every photo posted by a user. But when...
• Q-Learning : Learning (by yourself) the rules of the game algorithmique
  I’ve always wondered how artifical intelligences could operate in video games. How could the ennemies in a game could possibly know how and when to attack, flee, or trick the...