- San Francisco, USA
- https://christophlassner.de
- @chlassner
Stars
Spacedrive is an open source cross-platform file explorer, powered by a virtual distributed filesystem written in Rust.
The PYthoN General UnIt Test geNerator is a test-generation tool for Python
Efficient Learning on Point Clouds with Basis Point Sets
Rust bindings for the C++ api of PyTorch.
General-purpose programming language and toolchain for maintaining robust, optimal, and reusable software.
This codebase demonstrates how to synthesize realistic 3D character animations given an arbitrary speech signal and a static character mesh.
Learning to Regress 3D Face Shape and Expression from an Image without 3D Supervision
Implementations from the free course Deep Reinforcement Learning with Tensorflow and PyTorch
Crowdsourcing pipeline and website for OpenSurfaces [SIG '13] and Intrinsic Images in the Wild [SIG '14]
SPARK 2014 is the new version of SPARK, a software development technology specifically designed for engineering high-reliability applications.
A fast, lock-free, cross-platform C++11 thread pool library that is aiming to be lightweight and simple.
Putting the Unite the People project in a docker image
Framework-agnostic implementation for state-of-the-art saliency methods (XRAI, BlurIG, SmoothGrad, and more).
120+ interactive Python coding interview challenges (algorithms and data structures). Includes Anki flashcards.
It's a podcast akin to grabbing coffee with Creative AI researchers.
Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/
FractalNet: A fractal-based neural network architecture
shihenw / caffe
Forked from BVLC/caffeCaffe: a fast open framework for deep learning. Fork maintained by shihenw in CMU.
Implementation of "Context Encoders: Feature Learning by Inpainting"
Lightweight, Portable, Flexible Distributed/Mobile Deep Learning with Dynamic, Mutation-aware Dataflow Dep Scheduler; for Python, R, Julia, Scala, Go, Javascript and more
A flexible framework of neural networks for deep learning
Reconstructing 3D Human Pose from 2D Image Landmarks
DeconvNet : Learning Deconvolution Network for Semantic Segmentation