Steven Basart (xksteven)

xksteven

Geek Repo

Location:Miami

Home Page:stevenbas.art

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Steven Basart's starred repositories

build-your-own-x

Master programming by recreating your favorite technologies from scratch.

rustlings

:crab: Small exercises to get you used to reading and writing Rust code!

Language:RustLicense:MITStargazers:52057Issues:319Issues:642

nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Language:PythonLicense:MITStargazers:35652Issues:364Issues:310

upscayl

🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.

Language:TypeScriptLicense:AGPL-3.0Stargazers:28956Issues:150Issues:718

comprehensive-rust

This is the Rust course used by the Android team at Google. It provides you the material to quickly teach Rust.

Language:RustLicense:Apache-2.0Stargazers:27123Issues:142Issues:280

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

Language:PythonLicense:BSD-3-ClauseStargazers:22146Issues:398Issues:636

awesome-flipperzero

🐬 A collection of awesome resources for the Flipper Zero device.

License:CC0-1.0Stargazers:17939Issues:645Issues:0

scalene

Scalene: a high-performance, high-precision CPU, GPU, and memory profiler for Python with AI-powered optimization proposals

Language:PythonLicense:Apache-2.0Stargazers:11494Issues:88Issues:463

FlexGen

Running large language models on a single GPU for throughput-oriented scenarios.

Language:PythonLicense:Apache-2.0Stargazers:9107Issues:109Issues:81

tokenizers

💥 Fast State-of-the-Art Tokenizers optimized for Research and Production

Language:RustLicense:Apache-2.0Stargazers:8814Issues:121Issues:970

sre-interview-prep-guide

Site Reliability Engineer Interview Preparation Guide

kubernetes-learning-path

A roadmap to learn Kubernetes from scratch (Beginner to Advanced level)

The-Forge

The Forge Cross-Platform Rendering Framework PC Windows, Steamdeck (native), Ray Tracing, macOS / iOS, Android, XBOX, PS4, PS5, Switch, Quest 2

Language:C++License:Apache-2.0Stargazers:4682Issues:182Issues:175

decky-loader

A plugin loader for the Steam Deck.

Language:TypeScriptLicense:GPL-2.0Stargazers:4411Issues:47Issues:364

torchscale

Foundation Architecture for (M)LLMs

Language:PythonLicense:MITStargazers:2988Issues:46Issues:76

mctx

Monte Carlo tree search in JAX

Language:PythonLicense:Apache-2.0Stargazers:2291Issues:29Issues:47

rl

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

Language:PythonLicense:MITStargazers:2144Issues:42Issues:590

py2rs

A quick reference guide for the Pythonista in the process of becoming a Rustacean

vall-e

PyTorch implementation of VALL-E(Zero-Shot Text-To-Speech), Reproduced Demo https://lifeiteng.github.io/valle/index.html

Language:PythonLicense:Apache-2.0Stargazers:1969Issues:50Issues:126

adversarial-attacks-pytorch

PyTorch implementation of adversarial attacks [torchattacks]

Language:PythonLicense:MITStargazers:1825Issues:18Issues:143

EEGwithRaspberryPI

Open-Source board for converting RaspberryPI to Brain-computer interface

paranoid_crypto

Paranoid's library contains implementations of checks for well known weaknesses on cryptographic artifacts.

Language:PythonLicense:Apache-2.0Stargazers:787Issues:24Issues:10

mistral

Mistral: A strong, northwesterly wind: Framework for transparent and accessible large-scale language model training, built with Hugging Face 🤗 Transformers.

Language:PythonLicense:Apache-2.0Stargazers:551Issues:16Issues:96

BMTrain

Efficient Training (including pre-training and fine-tuning) for Big Models

Language:PythonLicense:Apache-2.0Stargazers:540Issues:11Issues:85
Language:PythonLicense:Apache-2.0Stargazers:395Issues:11Issues:13

pyrallis

Pyrallis is a framework for structured configuration parsing from both cmd and files. Simply define your desired configuration structure as a dataclass and let pyrallis do the rest!

Language:PythonLicense:MITStargazers:186Issues:6Issues:13

blur-diffusion

Official PyTorch implementation of the paper Progressive Deblurring of Diffusion Models for Coarse-to-Fine Image Synthesis.

Language:PythonLicense:MITStargazers:148Issues:4Issues:4

BM-Training

Dive into Big Model Training

A-23MW-data-centre-is-all-you-need

Paper: https://arxiv.org/abs/2203.17265, Video: https://www.youtube.com/watch?v=VUKvgsLu9yo