Siyi Li's starred repositories
seg-by-interaction
Unsupervised instance segmentation via active robot interaction
pytorch-dense-correspondence
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
Detectron.pytorch
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
awesome-object-detection
Awesome Object Detection based on handong1587 github: https://handong1587.github.io/deep_learning/2015/10/09/object-detection.html
visual-pushing-grasping
Train robotic agents to learn to plan pushing and grasping actions for manipulation with deep reinforcement learning.
video-nonlocal-net
Non-local Neural Networks for Video Classification
Awesome-MXNet
A curated list of MXNet examples, tutorials and blogs.
arc-robot-vision
MIT-Princeton Vision Toolbox for Robotic Pick-and-Place at the Amazon Robotics Challenge 2017 - Robotic Grasping and One-shot Recognition of Novel Objects with Deep Learning.
DeepReinforcementLearningThatMatters
Accompanying code for "Deep Reinforcement Learning that Matters"
gradient-checkpointing
Make huge neural nets fit in memory
TuSimple-DUC
Understanding Convolution for Semantic Segmentation
mx-maskrcnn
An MXNet implementation of Mask R-CNN
RenderForCNN
Render for CNN: Viewpoint Estimation in Images Using CNNs Trained with Rendered 3D Model Views
synthetic-computer-vision
A list of synthetic dataset and tools for computer vision
DeepRLHacks
Hacks for training RL systems from John Schulman's lecture at Deep RL Bootcamp (Aug 2017)
mxnet-the-straight-dope
An interactive book on deep learning. Much easy, so MXNet. Wow. [Straight Dope is growing up] ---> Much of this content has been incorporated into the new Dive into Deep Learning Book available at https://d2l.ai/.
reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.