Name: Christian Laforte
Type: User
Company: Stability AI
Bio: Director of R&D (Generative AI in Language, 3D, Speech, Science) at Stability AI. Formerly 2X entrepreneur and Fellow at AMD.
Location: Markham, Ontario, Canada
Blog: https://www.linkedin.com/in/claforte/
Christian Laforte's Projects
18.337 - Parallel Computing and Scientific Machine Learning
extend "Attend-and-Excite: Attention-Based Semantic Guidance for Text-to-Image Diffusion Models"
Python exercise
Julia script to split a PDF book into chapters
experiment with chainlit
Getting Started With CUDA for Python Programmers
Denoising Diffusion Probabilistic Models in Julia
The FeathersJS documentation, powered by GitBook
The fast.ai deep learning library, lessons, and tutorials
Fire.jl is a library for automatically generating command line interfaces (CLIs) for julia functions.
A Yeoman generator for a Feathers application
[Preprint 2022] "Is Attention All NeRF Needs?" by Mukund Varma T*, Peihao Wang* , Xuxi Chen, Tianlong Chen, Subhashini Venugopalan, Zhangyang Wang
A tutorial example for nbdev
iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press
Julia extension for Visual Studio Code
The repository for JuliaCon2021 workshop "Package development: improving engineering quality & latency"
Explicitly Parameterized Neural Networks in Julia
Lessons from MIT 18.337 course on Parallel computing in Julia
Create delightful python projects using Jupyter Notebooks
https://nbdev.fast.ai/tutorials/tutorial.html
A Python toolbox for performing gradient-free optimization
Open-source keyboard firmware for Atmel AVR and Arm USB families
Real-time Neural Radiance Talking Portrait Synthesis via Audio-spatial Decomposition
Ray Tracing in a week-end, implemented in Julia
Clone a voice in 5 seconds to generate arbitrary speech in real-time
Automatically update function definitions in a running Julia session
SHARK - High Performance Machine Learning for CPUs, GPUs, Accelerators and Heterogeneous Clusters
A simple and complete implementation of super-resolution paper.
A pytorch implementation of text-to-3D dreamfusion, powered by stable diffusion.
Sub-Pixel Back-Projection For Lightweight Single Image Super-Resolution (IMVIP 2020)