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Collection of scripts to aggregate image data for the purposes of training an NSFW Image Classifier
Multi-platform, free open source software for visualization and image computing.
A Python toolbox to create adversarial examples that fool neural networks in PyTorch, TensorFlow, and JAX
Open Source Neural Machine Translation and (Large) Language Models in PyTorch
Sparse Recurrent Neural Networks -- Pruning Connections and Hidden Sizes (TensorFlow)
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.
A Show And Tell implementation for iOS 11.0 based on CoreML
I decide to sync up this repo and self-critical.pytorch. (The old master is in old master branch for archive)
PyTorch Code for the paper "VSE++: Improving Visual-Semantic Embeddings with Hard Negatives"
Python Implementation of Reinforcement Learning: An Introduction
PyTorch Tutorial for Deep Learning Researchers
automatic video description generation with GPU training
Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!
Benchmark and build RL architectures that can do multitask and transfer learning.
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
My Exploration on Deep Reinforcement Learning Survey
Studying Reinforcement Learning Guide
Load graphical Caffe networks in Torch
A Neural Turing Machine implementation in Torch.
Stereo Matching by Training a Convolutional Neural Network to Compare Image Patches
weiliu89 / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning.
A curated list of deep learning resources for computer vision
papers on scalable and efficient machine learning systems