Python Implementation of STreeD: Dynamic Programming Approach for Optimal Decision Trees with Separable objectives and Constraints

Awesome machine learning for combinatorial optimization papers.

[ICML2024] Unified Training of Universal Time Series Forecasting Transformers

This repository is the official implementation of the paper Convolutional Neural Operators for robust and accurate learning of PDEs

Google Brain AutoML

Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step

Language model alignment-focused deep learning curriculum

Contains random samples referenced in the paper "Sleeper Agents: Training Robustly Deceptive LLMs that Persist Through Safety Training".

A deep learning approach for mapping and dating burned areas using temporal sequences of satellite images

Deep Learning Models for Wildfire Danger Forecasting

Reference implementation of Finite Element Networks as proposed in "Learning the Dynamics of Physical Systems from Sparse Observations with Finite Element Networks" at ICLR 2022

A tool for generating PDEs ground truth datasets from ARCSim, FEniCS and SU2

Model hub for all your DiffeqML needs. Pretrained weights, modules, and basic inference infrastructure

A python library for user-friendly forecasting and anomaly detection on time series.

SpotX patcher used for patching the desktop version of Spotify

Publication-ready NN-architecture schematics.

Lazy Predict help build a lot of basic models without much code and helps understand which models works better without any parameter tuning

GPT4All: Chat with Local LLMs on Any Device

A programming framework for agentic AI. Discord: https://aka.ms/autogen-dc. Roadmap: https://aka.ms/autogen-roadmap

🔊 Text-Prompted Generative Audio Model

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

Your browser's reference manager: automatic paper detection (Arxiv, OpenReview & more), publication venue matching and code repository discovery! Also enhances ArXiv: BibTex citation, Markdown link…

A Python CLI to easily and continuously make pretty commits, following the https://gitmoji.dev specification

Stable Diffusion, SDXL, LoRA Training, DreamBooth Training, Automatic1111 Web UI, DeepFake, Deep Fakes, TTS, Animation, Text To Video, Tutorials, Guides, Lectures, Courses, ComfyUI, Google Colab, R…

A new markup-based typesetting system that is powerful and easy to learn.

This repository contains code for the paper "MAgNet: Mesh-Agnostic Neural PDE Solver" https://arxiv.org/abs/2210.05495

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