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basicsr

Open Source Image and Video Restoration Toolbox for Super-resolution, Denoise, Deblurring, etc. Currently, it includes EDSR, RCAN, SRResNet, SRGAN, ESRGAN, EDVR, etc. Also support StyleGAN2, DFDNet.

convlstm.pytorch

coursera

Source Code and Starter Code for Accelerated Computer Science Fundamentals Specialization on Coursera

cpp-cheat-sheet

C++ Syntax, Data Structures, and Algorithms Cheat Sheet

deeplearningexamples

Deep Learning Examples

deeplidar

Deep Surface Normal Guided Depth Prediction for Outdoor Scene from Sparse LiDAR Data and Single Color Image

depth-completion-gan

Codebase for ACM MM paper titled "Sparse to Dense Depth Completion using a Generative Adversarial Network with Intelligent Sampling Strategies"

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller

distiller-ccq

Competitive Collaborative Quantization (CCQ) for layer-wise mixed precision quantization

esrgan

ECCV18 Workshops - Enhanced SRGAN. Champion PIRM Challenge on Perceptual Super-Resolution. The training codes are in BasicSR.

highperfllms2024

hotspot

HotSpot is an accurate and fast thermal model suitable for use in architectural studies.

ibsgd

iris-recognition-using-matlab

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jax-unit-tests

maxtext

A simple, performant and scalable Jax LLM!

mildlyoverfitted

Paper implementations from scratch and machine learning tutorials

monodepth_tutorial

Website for the tutorial "Deconstructing Monocular Depth Reconstruction" @ 3DV 2022.

neural-network-architecture-diagrams

Diagrams for visualizing neural network architecture (Created with diagrams.net)

npy-matlab

Experimental code to read/write NumPy .NPY files in MATLAB

perf-ninja

This is an online course where you can learn and master the skill of low-level performance analysis and tuning.

pointsetgeneration

Code for ``A Point Set Generation Network for 3D Object Reconstruction from a Single Image''

pytorch-gan

PyTorch implementations of Generative Adversarial Networks.

robust-multimodal-fusion-gan

Codebase for ACM MM'22 paper titled "Robust Multimodal Depth Estimation using Transformer based Generative Adversarial Networks"

sam

SAM: Sharpness-Aware Minimization (PyTorch)

sparse-to-dense.pytorch

ICRA 2018 "Sparse-to-Dense: Depth Prediction from Sparse Depth Samples and a Single Image" (PyTorch Implementation)

summer2022

Summer School Week 1 & 2 repo

xla

A machine learning compiler for GPUs, CPUs, and ML accelerators

xpk

xpk (Accelerated Processing Kit, pronounced x-p-k,) is a software tool to help Cloud developers to orchestrate training jobs on accelerators such as TPUs and GPUs on GKE.