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STEGASURAS: STEGanography via Arithmetic coding and Strong neURAl modelS
Text steganography based on Markov chains
Generating Steganographic text using Generative Models to Overcome Censorship & Target Ads
Generating Text through Adversarial Training(GAN) using Skip-Thought Vectors
Based on Ziegler et al. - 2019 - Neural Linguistic Steganography
An official implementation of the paper "Addressing Segmentation Ambiguity in Neural Linguistic Steganography"
Neural Linguistic Steganography via Self-Adjusting Arithmetic Coding in EMNLP 2020
This is the repository for the Models of Sequence Data 2020 Edition for the project RNN-Stega: Linguistic Steganography Based on Recurrent Neural Networks
ALiSa: Acrostic Linguistic Steganography Based on BERT and Gibbs Sampling
Text Steganography Using Deep Neural Network
π€ Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
π¦ Neural Networks & Deep Learning for Assisted Driving with CARLA.
Deep Reinforcement Learning with continuous control in CARLA
2d Deep Reinforcement Learning environment with Carla
Deep Reinforcement Learning (PPO) in Autonomous Driving (Carla) [from scratch]
Reinforcement Learning Agents Trained in the CARLA Simulator
Environments and Wrappers for CARLA, designed for ease of use with RL Tasks.
π§βπ« 60+ Implementations/tutorials of deep learning papers with side-by-side notes π; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gaβ¦
Stock Trading Bot using Deep Q-Learning
Self Driving Car Nanodegree - Training a vehicle to drive autonomously around a track using keras deep learning
Deep learning applied to train a NN to lear how to drive a car over a race track
Car learned to drive on a certain track using Deep Learning/Neural Networks
Teaching a simulated car how to drive around a track by using deep regression learning