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alpaca.cpp

Locally run an Instruction-Tuned Chat-Style LLM (Android/Linux/Windows/Mac)

arconstech

astropy

Repository for the Astropy core package

awesome-indie

Resources for independent developers to make money

backrazor_neurips22

[Neurips 2022] “ Back Razor: Memory-Efficient Transfer Learning by Self-Sparsified Backpropogation”, Ziyu Jiang*, Xuxi Chen*, Xueqin Huang, Xianzhi Du, Denny Zhou, Zhangyang Wang

causalnex

A Python library that helps data scientists to infer causation rather than observing correlation.

chapel

a Productive Parallel Programming Language

charl-e

Run Stable Diffusion on your M1 Mac

codepath_android_prework

cybersecurity_codepath_prework

decision-making-under-uncertainty

Decision making under uncertainty using the POMDPs.jl ecosystem taught by Robert Moss

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

droneformer

Control UAVs using natural language.

dscc202-402-spring2022

course materials for Data Science at Scale

dummy-python

executors

Selection of Jina Executors

factool

FacTool: Factuality Detection in Generative AI

first-contributions

🚀✨ Help beginners to contribute to open source projects

galai

Model API for GALACTICA

gdsc_git_workshop_f21

iconqa

Data and code for NeurIPS 2021 Paper "IconQA: A New Benchmark for Abstract Diagram Understanding and Visual Language Reasoning".

intergps

Data and Code for ACL 2021 Paper "Inter-GPS: Interpretable Geometry Problem Solving with Formal Language and Symbolic Reasoning"

jenkins_tutorial

jina-commons

A collection of shared function for Jina Executor

leandojo

Tool for data extraction and interacting with Lean programmatically.

leandojochatgpt

ChatGPT plugin for theorem proving in Lean

lila

A unified benchmark for math reasoning

mathsteps

Step by step math solutions for everyone

mentorship-android

Mentorship System is an application that matches women in tech to mentor each other, on career development, through 1:1 relations during a certain period of time. This is the Android application of this project.

midas

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"