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followers: 0.0 following: 5.0 repos: 25.0 gists: 1.0

Name: Manuel Gallardo

Type: User

Location: Aventura, FL, USA

Manuel Gallardo's Projects

attention-is-all-you-need-pytorch

A PyTorch implementation of the Transformer model in "Attention is All You Need".

awesome-ebm

Collecting research materials on EBM/EBL (Energy Based Models, Energy Based Learning)

commented-transformers

Highly commented implementations of Transformers in PyTorch

deep-rl-docker-setup

Docker setup for Deep Reinforcement Learning

easy-neural-ode

Code for the paper "Learning Differential Equations that are Easy to Solve"

ebm-anatomy

PyTorch implementation of Algorithm 1 of "On the Anatomy of MCMC-Based Maximum Likelihood Learning of Energy-Based Models"

energy_based_generative_models

PyTorch code accompanying our paper on Maximum Entropy Generators for Energy-Based Models

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

keras-idiomatic-programmer

Books, Presentations, Workshops, Notebook Labs, and Model Zoo for Software Engineers and Data Scientists wanting to learn the TF.Keras Machine Learning framework

langchain

⚡ Building applications with LLMs through composability ⚡

larch

Larch: a Python tool for choice modeling

latent_ode

Code for "Latent ODEs for Irregularly-Sampled Time Series" paper

llm.c

LLM training in simple, raw C/CUDA

micrograd

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

optim

OptimLib: a lightweight C++ library of numerical optimization methods for nonlinear functions

programming-scala-book-code-examples

The code examples used in Programming Scala, 2nd and 3rd Editions (O'Reilly)

protein-ebm

Energy-based models for atomic-resolution protein conformations

pytorch-deep-learning

Deep Learning (with PyTorch)

pytorch-energy-based-model

Simple illustrative examples for energy-based models in PyTorch

reinforce.jl

Abstractions, algorithms, and utilities for reinforcement learning in Julia

setup_tutorial

cuda/pytorch/openai/fake screen setup tutorial

statsmodels

Statsmodels: statistical modeling and econometrics in Python

tensor2tensor

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

trax

Trax — Deep Learning with Clear Code and Speed

tuning_playbook

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

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