Deep Learning GPU Training System

SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2…

🙌 OpenHands: Code Less, Make More

Tensorflow Implementation of HSID-CNN for denoising hyperspectral images

PyTorch implementation for unsupervised cross-spectral stereo matching using cycleGAN & dispnet

Geometric Computer Vision Library for Spatial AI

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

PyTorch/TorchScript/FX compiler for NVIDIA GPUs using TensorRT

Code for ICML 2020 "Graph Optimal Transport for Cross-Domain Alignment"

A lightweight/pretty visualizer for recent work on a git code base in multiple branches. Helps stay up to date with teams working on one git repo in many branches.

Development repository for the Triton language and compiler

Fourier Domain Adaptation for Semantic Segmentation

Pytorch version of SfmLearner from Tinghui Zhou et al.

A curated list of awesome computer vision resources

A complete computer science study plan to become a software engineer.

Hydra is a framework for elegantly configuring complex applications

ResNet-18 TensorFlow Implementation including conversion of torch .t7 weights into tensorflow ckpt

Implementation of PWOC-3D network for end-to-end stereo scene flow estimation

Attempting to make the Deep Learning Book easier to understand.

A PyTorch implementation for our work "Confidence Propagation through CNNs for Guided Sparse Depth Regression"

A collection of infrastructure and tools for research in neural network interpretability.

Latex code for making neural networks diagrams

🤘 awesome-semantic-segmentation

Models and examples built with TensorFlow

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

Collection of useful notebooks and snippets