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UC Berkeley
- https://people.eecs.berkeley.edu/~zhecao/
Stars
Tensors and Dynamic neural networks in Python with strong GPU acceleration
A toolkit for developing and comparing reinforcement learning algorithms.
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
Datasets, Transforms and Models specific to Computer Vision
Ongoing research training transformer models at scale
TensorFlow-based neural network library
PyTorch3D is FAIR's library of reusable components for deep learning with 3D data
Faster R-CNN (Python implementation) -- see https://github.com/ShaoqingRen/faster_rcnn for the official MATLAB version
tensorboard for pytorch (and chainer, mxnet, numpy, ...)
Object detection, 3D detection, and pose estimation using center point detection:
Universe: a software platform for measuring and training an AI's general intelligence across the world's supply of games, websites and other applications.
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Interactive Image Generation via Generative Adversarial Networks
Collection of generative models in Tensorflow
The PyTorch improved version of TPAMI 2017 paper: Face Alignment in Full Pose Range: A 3D Total Solution.
Tensorflow Faster RCNN for Object Detection
Generate image analogies using neural matching and blending.
Code for reproducing results in "Glow: Generative Flow with Invertible 1x1 Convolutions"
The author's officially unofficial PyTorch BigGAN implementation.
A pytorch implementation of Detectron. Both training from scratch and inferring directly from pretrained Detectron weights are available.
TensorFlow Graphics: Differentiable Graphics Layers for TensorFlow
A Blender add-on to import models from google maps
A modular high-level library to train embodied AI agents across a variety of tasks and environments.
Starter code for working with the YouTube-8M dataset.
Node based visual scripting system designed for motion graphics in Blender.
Code for the paper "Improved Techniques for Training GANs"
Text to image synthesis using thought vectors
Expressive Body Capture: 3D Hands, Face, and Body from a Single Image
Non-local Neural Networks for Video Classification