HYSEN LABS DIRECTORY

#Other language

Language tag · curated repositories and deep analysis.

2,670 curated open-source projects

dotnet

dotnet-docker

★ 4,876

Official container images for .NET

Dockerfile1,978 forks

dusty-nv

jetson-containers

★ 4,875

Machine Learning Containers for NVIDIA Jetson and JetPack-L4T

Jupyter Notebook855 forks

xdash

FDE-the-Guidance-Book-of-Forward-Deployed-Engineer

★ 4,866

FDE（前沿部署工程师）从零入门指南（基于范冰《增长黑客》原书框架）

Unknown586 forks

AlmasB

FXGL

★ 4,865

Java / JavaFX / Kotlin Game Library (Engine)

Kotlin710 forks

openmlsys

★ 4,863

《Machine Learning Systems: Design and Implementation》 (V2 is launching soon）

TeX476 forks

WeThinkIn

AIGC-Interview-Book

★ 4,853

【三年面试五年模拟】AIGC/LLM/AI Agent算法工程师面试资源平台。涵盖AIGC、LLM大模型、AI Agent、具身智能、传统深度学习、计算机视觉、自然语言处理、自动驾驶、机器学习、强化学习、大数据挖掘、世界模型、元宇宙、AGI等AI行业面试笔试干货经验与核心跨周期知识。

Unknown471 forks

dgiot

★ 4,850

Open Source Industrial IoT Platform | 300+ protocols | 6-min deploy | Modbus OPC UA MQTT | 12K Stars

Erlang967 forks

agrosner

DBFlow

★ 4,847

A blazing fast, powerful, and very simple ORM android database library that writes database code for you.

Kotlin592 forks

hexops

mach

★ 4,846

zig game engine & graphics toolkit - mirror of https://code.hexops.com/hexops/mach

Zig211 forks

ChristianLempa

cheat-sheets

★ 4,831

This is my personal knowledge-base. Here you'll find code-snippets, technical documentation, and command reference for various tools, and technologies.

Unknown1,441 forks

nlp-with-transformers

notebooks

★ 4,819

Jupyter notebooks for the Natural Language Processing with Transformers book

Jupyter Notebook1,484 forks

firebase

FirebaseUI-Android

★ 4,807

Optimized UI components for Firebase

Kotlin1,870 forks

streetcomplete

StreetComplete

★ 4,807

Easy to use OpenStreetMap editor for Android

Kotlin454 forks

py-why

ALICE (Automated Learning and Intelligence for Causation and Economics) is a Microsoft Research project aimed at applying Artificial Intelligence concepts to economic decision making. One of its goals is to build a toolkit that combines state-of-the-art machine learning techniques with econometrics in order to bring automation to complex causal inference problems. To date, the ALICE Python SDK (econml) implements orthogonal machine learning algorithms such as the double machine learning work of Chernozhukov et al. This toolkit is designed to measure the causal effect of some treatment variable(s) t on an outcome variable y, controlling for a set of features x.

Jupyter Notebook827 forks