inarikami Goto Github PK

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

pytube

A lightweight, dependency-free Python library (and command-line utility) for downloading YouTube Videos.

quantum

Hybrid Quantum-Classical Machine Learning in TensorFlow

quantum-computing-notes

Notes for Quantum Computing using the QuTip toolkit

quantum-key-distribution

Demo implementing bb84 for symmetric encryption

race-simulation

This repository contains a race simulation to determine a race strategy for motorsport circuit races. Race strategy in this context means the determination of pit stops.

radarproject

Very Meme Radar

randla-net

🔥RandLA-Net in Tensorflow (CVPR 2020, Oral)

react

A declarative, efficient, and flexible JavaScript library for building user interfaces.

real-esrgan

Real-ESRGAN aims at developing Practical Algorithms for General Image Restoration.

reaviz

📊 Data visualization library for React based on D3

reclassex

ReClassEx

reincarnating_rl

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

rl

A modular, primitive-first, python-first PyTorch library for Reinforcement Learning.

rocm

ROCm - Open Software Platform for GPU Compute

rocm-device-libs

ROCm Device Libraries

runeterra

Legends of Runeterra simulator using C++ with some reinforcement learning

saadeghi

scenic

Scenic: A Jax Library for Computer Vision Research and Beyond

seed_rl

SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

slate-docs

slowfast

PySlowFast: video understanding codebase from FAIR for reproducing state-of-the-art video models.

smbghost_rce_poc

spinningup

An educational resource to help anyone learn deep reinforcement learning.

spiral

We provide a pre-trained model for unconditional 19-step generation of CelebA-HQ images

spot-sdk

Spot SDK repo

squalr

Squalr Memory Editor - Game Hacking Tool Written in C#

squeezeseg

Implementation of SqueezeSeg, convolutional neural networks for LiDAR point clout segmentation

squeezesegv2

Implementation of SqueezeSegV2, Improved Model Structure and Unsupervised Domain Adaptation for Road-Object Segmentation from a LiDAR Point Cloud

st-moe-pytorch

Implementation of ST-Moe, the final incarnation of MoE after years of research at Brain, in Pytorch