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ebm_code_release

Code for Implicit Generation and Generalization with Energy Based Models

eureka

Official Repository for "Eureka: Human-Level Reward Design via Coding Large Language Models"

evnn

evo

DNA foundation modeling from molecular to genome scale

examples

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

fasttext

Library for fast text representation and classification.

fixed-point-finder

FixedPointFinder: A Tensorflow toolbox for identifying and characterizing fixed points in recurrent neural networks

flyvis

A connectome constrained deep mechanistic network (DMN) model of the fruit fly visual system

fvcore

Collection of common code that's shared among different research projects in FAIR computer vision team.

gbs-context-model-demo

generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

genesis-2.4

Repository for continued development of GENESIS 2.4 neural simulator

geometry-fewshot-learning

gflownet

Generative Flow Networks

ggs

This repository implements Gibbs sampling with Graph-based Smoothing

gnns-in-network-neuroscience

A review of papers proposing novel GNN methods with application to brain connectivity published in 2017-2020.

google-research

Google Research

gpt-fast

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

gradient-descent-the-ultimate-optimizer

Code for our NeurIPS 2022 paper

graph-based-deep-learning-literature

links to conference publications in graph-based deep learning

gym

A toolkit for developing and comparing reinforcement learning algorithms.

gymnasium

A standard API for reinforcement learning and a diverse set of reference environments (formerly Gym)

hands-on-graph-neural-networks-using-python

Hands-On Graph Neural Networks Using Python, published by Packt

holt-winters

The repository provides an in-depth analysis and forecast of a time series dataset as an example and summarizes the mathematical concepts required to have a deeper understanding of Holt-Winter's model. It also contains the implementation and analysis to time series anomaly detection using brutlag algorithm.

how-to-read-pytorch

Quick, visual, principled introduction to pytorch code through five colab notebooks.

ijepa

Official codebase for I-JEPA, the Image-based Joint-Embedding Predictive Architecture. First outlined in the CVPR paper, "Self-supervised learning from images with a joint-embedding predictive architecture."

intro_dgm

An Introduction to Deep Generative Modeling: Examples

irem_code_release

ICML 2022: Learning Iterative Reasoning through Energy Minimization

jepa

PyTorch code and models for V-JEPA self-supervised learning from video.

jpyedm

Jupyter notebook for pyEDM