rac99111

Latex-Paper-Templates

Latex-format paper templates, including Elsevier, arXiv and IEEE Access.

Griffin

Implementation of Griffin from the paper: "Griffin: Mixing Gated Linear Recurrences with Local Attention for Efficient Language Models"

llm-autoeval

Automatically evaluate your LLMs in Google Colab

LLMs-from-scratch

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

llm-course

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

LLM101n

LLM101n: Let's build a Storyteller

AutoGPTQ

An easy-to-use LLMs quantization package with user-friendly apis, based on GPTQ algorithm.

llm-transparency-tool

LLM Transparency Tool (LLM-TT), an open-source interactive toolkit for analyzing internal workings of Transformer-based language models. *Check out demo at* https://huggingface.co/spaces/facebook/llm-transparency-tool-demo

torchscale

Foundation Architecture for (M)LLMs

EasyLM

Large language models (LLMs) made easy, EasyLM is a one stop solution for pre-training, finetuning, evaluating and serving LLMs in JAX/Flax.

intel-extension-for-transformers

⚡ Build your chatbot within minutes on your favorite device; offer SOTA compression techniques for LLMs; run LLMs efficiently on Intel Platforms⚡

pykan

Kolmogorov Arnold Networks

casadi-nlp

Nonlinear Progamming with CasADi

mpc-reinforcement-learning

Reinforcement Learning with Model Predictive Control

safe-control-gym

PyBullet CartPole and Quadrotor environments—with CasADi symbolic a priori dynamics—for learning-based control and RL

Adaptive-Control-Oriented-Meta-Learning

Adaptive control-oriented meta-learning for nonlinear systems

Data-Efficient-Reinforcement-Learning-with-Probabilistic-Model-Predictive-Control

Unofficial Implementation of the paper "Data-Efficient Reinforcement Learning with Probabilistic Model Predictive Control", applied to gym environments

Learning-Control-Oriented-Structure

Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco Pavone.

SEDS-in-Python

Stable_Estimator_of_Dynamical_System_Algorithm

PySEDS

(Work in progress) Python implementation of Stable Estimator of Dynamical Systems (SEDS).

physics_constrained_nn

Neural Networks with Physics-Informed Architectures and Constraints for Dynamical Systems Modeling

torchdyn

A PyTorch library entirely dedicated to neural differential equations, implicit models and related numerical methods

gmr

Gaussian Mixture Regression

Learning-Control-Oriented-Structure

Code for "Learning Control-Oriented Dynamical Structure from Data" by Spencer M. Richards, Jean-Jacques Slotine, Navid Azizan, and Marco Pavone.

DiffBEV

Official PyTorch implementation for a conditional diffusion probability model in BEV perception

DenoisingDiffusionProbabilityModel-ddpm-

This may be the simplest implement of DDPM. You can directly run Main.py to train the UNet on CIFAR-10 dataset and see the amazing process of denoising.

Pytorch-NCE

The Noise Contrastive Estimation for softmax output written in Pytorch

GPointNet

Official pytorch implementation for the paper "Generative PointNet: Deep Energy-Based Learning on Unordered Point Sets for 3D Generation, Reconstruction and Classification"

nlc_discrete

[NeurIPS 2023] Neural Lyapunov Control for Discrete-Time Systems

data_driven_control