Deep learning topic
Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.
GANWarping
Rewriting Geometric Rules of a GAN: Warp a GAN model to customized, out-of-domain shapes.
allennlp_tutorial
Tutorial on how to use AllenNLP for sequence modeling (including hierarchical LSTMs and CRF decoding)
LambdaNet
Purely functional artificial neural network library implemented in Haskell.
attention-viz
Lightweight visualization tool for neural attention mechanisms
dnn.cool
A framework for multi-task learning, where you may precondition tasks and compose them into bigger tasks. Conditional objectives and per-task evaluations and interpretations.
clip_playground
An ever-growing playground of notebooks showcasing CLIP's impressive zero-shot capabilities
form2fit
[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.
ggcnn
Generative Grasping CNN from "Closing the Loop for Robotic Grasping: A Real-time, Generative Grasp Synthesis Approach" (RSS 2018)
mvp_grasp
Multi-Viewpoint Picking (ICRA 2019)
reinforcement-learning-algorithms
This repository contains most of pytorch implementation based classic deep reinforcement learning algorithms, including - DQN, DDQN, Dueling Network, DDPG, SAC, A2C, PPO, TRPO. (More algorithms are st...