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.tmux

Oh My Tmux! My pretty + versatile tmux configuration that just works (imho the best tmux configuration)

auth-helpers

A collection of framework specific Auth utilities for working with Supabase.

awesome

:sunglasses: Curated list of awesome lists

bates-connect

biggan-pytorch

The author's officially unofficial PyTorch BigGAN implementation.

contrastive-feature-loss

PyTorch implementation of Contrastive Feature Loss for Image Prediction (AIM Workshop at ICCV 2021)

detectorch

Detectorch - detectron for PyTorch

eleutherai-gpt-neox

An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.

faster-rcnn.pytorch

A faster pytorch implementation of faster r-cnn

filelock

Python FileLock library

gandissect

Pytorch-based tools for visualizing and understanding the neurons of a GAN. https://gandissect.csail.mit.edu/

ganocracy

gpustat

📊 A simple command-line utility for querying and monitoring GPU status

grad-cam-pytorch

PyTorch implementation of Grad-CAM

heterogeneity

lightning

lintel

A Python module to decode video frames directly, using the FFmpeg C API.

maskgit

Official Jax Implementation of MaskGIT

neural-mmo

Neural MMO - A Massively Multiagent Game Environment

neural-nets

Code and Jupyter Notebook to accompany the problems in coding_task.pdf

numerical_linalg

open_clip

An open source implementation of CLIP.

paint-by-word

pretorched-x

Pretrained Image & Video ConvNets and GANs for PyTorch: NASNet, ResNeXt (2D + 3D), ResNet (2D + 3D), InceptionV4, InceptionResnetV2, Xception, DPN, NonLocalNets, R(2+1)D nets, MultiView CNNs, Temporal Relation Networks, BigGANs StyleGANs, etc.

prezto

The configuration framework for Zsh

ptutils

PyTorch utilities for neural network research.

python-cheatsheet

Comprehensive Python Cheatsheet

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

qmk_firmware

Open-source keyboard firmware for Atmel AVR and Arm USB families

ray

Ray is a unified framework for scaling AI and Python applications. Ray consists of a core distributed runtime and a toolkit of libraries (Ray AIR) for accelerating ML workloads.