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  • šŸ‘‹ Hi, Iā€™m @thefirehacker
  • šŸ‘€ Iā€™m interested in metaverse, game engines & Artificial Intelligence
  • šŸŒ± Iā€™m currently learning Babylonjs, React Native & Android Development
  • šŸ’žļø Iā€™m looking to collaborate on Open Source AI Application projects
  • šŸ“« How to reach me [email protected]

Amardeep Singh Sidhu's Projects

auto-gpt-benchmarks icon auto-gpt-benchmarks

A repo built for the purpose of benchmarking the performance of agents, regardless of how they are set up and how they work.

autogpt icon autogpt

An experimental open-source attempt to make GPT-4 fully autonomous.

aws-tools-for-babylonjs-editor icon aws-tools-for-babylonjs-editor

AWS Tools for Babylon.JS Editor is a suite of tools meant to interact with Babylon.JS Editor by utilizing the capabilities of AWS products.

d2l-en icon d2l-en

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 400 universities from 60 countries including Stanford, MIT, Harvard, and Cambridge.

dl4phys icon dl4phys

Deep learning for particle physicists

electron icon electron

:electron: Build cross-platform desktop apps with JavaScript, HTML, and CSS

gcloud icon gcloud

Google Cloud tutorial and setup

gpt-neox icon gpt-neox

An implementation of model parallel autoregressive transformers on GPUs, based on the DeepSpeed library.

gradio icon gradio

Create UIs for your machine learning model in Python in 3 minutes

le-git-graph icon le-git-graph

Add git graph to github website using this chrome extension

llama icon llama

Inference code for LLaMA models

llama2.c icon llama2.c

Inference Llama 2 in one file of pure C

manim icon manim

Animation engine for explanatory math videos

manim-1 icon manim-1

A community-maintained Python framework for creating mathematical animations.

mat2vec icon mat2vec

Supplementary Materials for Tshitoyan et al. "Unsupervised word embeddings capture latent knowledge from materials science literature", Nature (2019).

openchat icon openchat

OpenChat: Advancing Open-source Language Models with Imperfect Data

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