Manuel Gallardo's repositories
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.