xrhd

ollama

Get up and running with Llama 3, Mistral, Gemma 2, and other large language models.

manifesto

The OpenTF Manifesto expresses concern over HashiCorp's switch of the Terraform license from open-source to the Business Source License (BSL) and calls for the tool's return to a truly open-source license.

mml-book.github.io

Companion webpage to the book "Mathematics For Machine Learning"

flax

Flax is a neural network library for JAX that is designed for flexibility.

ddia-references

Literature references for “Designing Data-Intensive Applications”

graph_nets

Build Graph Nets in Tensorflow

alphageometry

cracking-the-data-science-interview

A Collection of Cheatsheets, Books, Questions, and Portfolio For DS/ML Interview Prep

computerraria

A fully compliant RISC-V computer made inside the game Terraria

dm-haiku

JAX-based neural network library

Coding

Data Structures and Algorithms (DSA) Preparation sheet

gemma

Open weights LLM from Google DeepMind.

educational

jraph

A Graph Neural Network Library in Jax

online-go.com

Source code for the Online-Go.com web interface

awesome-equivariant-network

Paper list for equivariant neural network

tree

tree is a library for working with nested data structures

DiGress

code for the paper "DiGress: Discrete Denoising diffusion for graph generation"

NNFS-book-with-Implementation

Book and code where describe each and every topic of neural network from scratch.

flaxmodels

Pretrained deep learning models for Jax/Flax: StyleGAN2, GPT2, VGG, ResNet, etc.

GrowNet

View-Adaptive-Neural-Networks-for-Skeleton-based-Human-Action-Recognition

View Adaptive Neural Networks for High Performance Skeleton-based Human Action Recognition

go-htmx

dotfiles

dotfiles for my mac & linux setups

habitica-tracker

Tool that displays a history of your Habits, Dailies and completed Todos in Habitica like habit tracker. Check out the Github page to try it out.

SparseDiff

Official implementation for 'Sparse denoising diffusion for large graph generation'

go_boilerplate

Golang boilerplate

vgae-jax

Variational Graph Autoencoder implemented using Jax & Jraph

BCE

brazilian-credit-card-spending

This project is a proof-of-concept (PoC) for MLops (Machine Learning Operations). It utilizes the Brazilian Credit Card Spending dataset from Kaggle. The goal of this project is to demonstrate the implementation of MLops principles and practices in a real-world scenario.