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🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"
32 projects in the framework of Deep Reinforcement Learning algorithms: Q-learning, DQN, PPO, DDPG, TD3, SAC, A2C and others. Each project is provided with a detailed training log.
GTSAM is a library of C++ classes that implement smoothing and mapping (SAM) in robotics and vision, using factor graphs and Bayes networks as the underlying computing paradigm rather than sparse m…
A platform for creating interactive data visualizations
The Incredible PyTorch: a curated list of tutorials, papers, projects, communities and more relating to PyTorch.
A tutorial on 3D point set registration using SVD based approaches. We also investigate further objectives such as min. no. of point correspondences.
This is a dataset for fake news detection research
Style your webpage like Edward Tufte’s handouts.
Multi-view 3D Models from Single Images with a Convolutional Network
All things done for IIIT research.
Kubernetes Playground for Thanos testing & benchmarking purposes
A template for writing CS papers with latex -- includes CI, todonotes, ...
Generate pixel art in the style of the GitHub contributions chart because why not
Magnificent app which corrects your previous console command.
Abstractions, algorithms, and utilities for reinforcement learning in Julia
Procedural generation of tree models in blender
Official Repository for Code associated with 'Practical Natural Language Processing' book by O'Reilly Media
A stripped-down shell for Linux-based systems, implemented in C
Google's Engineering Practices documentation
A Jetpack-Joyride-like platformer CLI game written in Python 3
📣 Discord Bot to make announcements about upcoming sessions for the Fellows using Google Calendar and Calendly
Basically listing out how to get some basic logistics out of the way