chaidosa

sec-ai

A comprehensive open-source toolkit for AI-powered analysis and interpretation of SEC EDGAR filings, providing valuable insights for investors, fintech developers, and researchers.

ivy

Convert Machine Learning Code Between Frameworks

courses

This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)

3D-PointCloud

Papers and Datasets about Point Cloud.

mvtorch

a Pytorch library for multi-view 3D understanding and generation

GraVi-T

Graph learning framework for long-term video understanding

MTAdam

MTAdam: Automatic Balancing of Multiple Training Loss Terms

rnn-kernel

Time-series-prediction-using-Neural-ODE-and-Neural-Flow

Comparison for time series prediction using Neural-ODEs and Neural-Flows

latentCCM

Implementation of the Latent CCM paper

torchdiffeq

Differentiable ODE solvers with full GPU support and O(1)-memory backpropagation.

tuning_playbook

A playbook for systematically maximizing the performance of deep learning models.

minGPT

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Physics-Informed-Neural-Networks

Investigating PINNs

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

Hands-On-Robotics-Programming-with-Cpp

Hands-On Robotics Programming with C++, published by Packt

conductor

Conductor is a microservices orchestration engine.

EC500-High-Performance-Computing

ml-basics

Exercise notebooks for Machine Learning modules on Microsoft Learn

advice

A repository of links with advice related to grad school applications, research, phd etc

divide-and-conquer-eigenvalues

divide-and-conquer eigenvalues algorithm for symmetric tridiagonal matrix, designed by Cuppen