ksetrae

Nuitka

Nuitka is a Python compiler written in Python. It's fully compatible with Python 2.6, 2.7, 3.4-3.12. You feed it your Python app, it does a lot of clever things, and spits out an executable or extension module.

arcade

Easy to use Python library for creating 2D arcade games.

pyglet

pyglet is a cross-platform windowing and multimedia library for Python, for developing games and other visually rich applications.

awesome-decision-transformer

A curated list of Decision Transformer resources (continually updated)

Mish

Official Repository for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

imitation_pretraining

soft-Q-learning

discrete soft Q learning(SQL) and soft Q imitation learning(SQIL) implementation in pytorch, simple!

imitation-learning

Imitation learning algorithms

DirectML

DirectML is a high-performance, hardware-accelerated DirectX 12 library for machine learning. DirectML provides GPU acceleration for common machine learning tasks across a broad range of supported hardware and drivers, including all DirectX 12-capable GPUs from vendors such as AMD, Intel, NVIDIA, and Qualcomm.

PyTorch-LBFGS

A PyTorch implementation of L-BFGS.

pyxelate

Python class that generates pixel art from images

higher

higher is a pytorch library allowing users to obtain higher order gradients over losses spanning training loops rather than individual training steps.

hypertorch

awesome-point-cloud-deep-learning

Paper list of deep learning on point clouds.

cooper

A general-purpose, deep learning-first library for constrained optimization in PyTorch

geotorch

Constrained optimization toolkit for PyTorch

MBM-Colorization

Image colorization with a Multivariate Bernoulli Mixture Density network.

sparse_learning

Sparse learning library and sparse momentum resources.

modern-srwm

Official repository for the paper "A Modern Self-Referential Weight Matrix That Learns to Modify Itself" (ICML 2022 & NeurIPS 2021 Deep RL Workshop) and "Accelerating Neural Self-Improvement via Bootstrapping" (ICLR 2023 Workshop)

nebuly

The user analytics platform for LLMs

pytorch-maml

An Implementation of Model-Agnostic Meta-Learning in PyTorch with Torchmeta

pytorch-meta

A collection of extensions and data-loaders for few-shot learning & meta-learning in PyTorch

CoordConv

Pytorch implementation of "An intriguing failing of convolutional neural networks and the CoordConv solution" - https://arxiv.org/abs/1807.03247

RE-Net

Recurrent Event Network: Autoregressive Structure Inference over Temporal Knowledge Graphs (EMNLP 2020)

fast-soft-sort

Fast Differentiable Sorting and Ranking

TorchGA

Train PyTorch Models using the Genetic Algorithm with PyGAD

torchswarm

A fast implementation of Particle Swarm Optimization using PyTorch in GPU

SimulatedAnnealing

Pytorch Optimizer for Simulated Annealing

SpykeTorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

pytorch-optimizer

torch-optimizer -- collection of optimizers for Pytorch