sauhaardac's Stars
hwchase17/langchain
⚡ Building applications with LLMs through composability ⚡
acheong08/ChatGPT
Reverse engineered ChatGPT API
lucidrains/PaLM-rlhf-pytorch
Implementation of RLHF (Reinforcement Learning with Human Feedback) on top of the PaLM architecture. Basically ChatGPT but with PaLM
VainF/pytorch-msssim
Fast and differentiable MS-SSIM and SSIM for pytorch.
AgnostiqHQ/covalent
Pythonic tool for orchestrating machine-learning/high performance/quantum-computing workflows in heterogeneous compute environments.
GitMurf/roam-highlighter
Chrome highlighter that quickly and easily puts your highlights into Roam format for easy pasting into your notes.
fgaim/gpuview
A lightweight web dashboard for monitoring GPU usage
wenhao-gao/mol_opt
rish-16/grafog
Graph Data Augmentation Library for PyTorch Geometric
microsoft/unadversarial
Official repository for our NeurIPS 2021 paper "Unadversarial Examples: Designing Objects for Robust Vision"
Oloren-AI/olorenchemengine
OCE is the first infinitely composable library for reproducibly implementing SOTA molecular property prediction/QSAR techniques.
zhijian-liu/torchpack
A neural network training interface based on PyTorch, with a focus on flexibility
aangelopoulos/conformal-risk
Conformal prediction for controlling monotonic risk functions. Simple accompanying PyTorch code for conformal risk control in computer vision and natural language processing.
EleutherAI/tqdm-multiprocess
Using queues, tqdm-multiprocess supports multiple worker processes, each with multiple tqdm progress bars, displaying them cleanly through the main process. It offers similar functionality for python logging.
donaldguy/yabai
this fork currently: tweaking on top of FelixKratz/yabai; this fork previously: forwardporting for Monterey betas; [upstream: A tiling window manager for macOS based on binary space partitioning]
davidzqhuang/autoreporter
sauhaardac/A-New-Vision-Workshop
Source Code for Computer Vision workshop for Elementary and Middle School Students.
subhashk01/NBA-Spread-Prediction
Using ML methods to predict if an NBA team will beat the spread