peter0749

pyenv

Simple Python version management

WaveFunctionCollapse

Bitmap & tilemap generation from a single example with the help of ideas from quantum mechanics

slambook2

edition 2 of the slambook

docker-ubuntu-vnc-desktop

A Docker image to provide web VNC interface to access Ubuntu LXDE/LxQT desktop environment.

torch-points3d

Pytorch framework for doing deep learning on point clouds.

MinkowskiEngine

Minkowski Engine is an auto-diff neural network library for high-dimensional sparse tensors

gym-anytrading

The most simple, flexible, and comprehensive OpenAI Gym trading environment (Approved by OpenAI Gym)

higher

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

torchsparse

[MICRO'23, MLSys'22] TorchSparse: Efficient Training and Inference Framework for Sparse Convolution on GPUs.

gpgpu-sim_distribution

GPGPU-Sim provides a detailed simulation model of contemporary NVIDIA GPUs running CUDA and/or OpenCL workloads. It includes support for features such as TensorCores and CUDA Dynamic Parallelism as well as a performance visualization tool, AerialVisoin, and an integrated energy model, GPUWattch.

Python-Wrapper-for-World-Vocoder

A Python wrapper for the high-quality vocoder "World"

FCGF

Fully Convolutional Geometric Features: Fast and accurate 3D features for registration and correspondence.

pclpy

Python bindings for the Point Cloud Library (PCL)

git-gud

Wanna git gud? Then get git-gud, and git gud at git!

GradientEpisodicMemory

Continuum Learning with GEM: Gradient Episodic Memory

nnPUlearning

Non-negative Positive-Unlabeled (nnPU) and unbiased Positive-Unlabeled (uPU) learning reproductive code on MNIST and CIFAR10

TPN

Code for ICLR19 paper: Learning to Propagate Labels: Transductive Propagation Network for Few-shot Learning.

macOS-Linux-VM-with-Rosetta

paper-reading

比做算法的懂工程落地，比做工程的懂算法模型。

DPPy

Python toolbox for sampling Determinantal Point Processes

embedding-propagation

Codebase for Embedding Propagation: Smoother Manifold for Few-Shot Classification. This is a ServiceNow Research project that was started at Element AI.

torch_cg

Preconditioned Conjugate Gradient in Pytorch

bokeh-camera

GBML

A collection of Gradient-Based Meta-Learning Algorithms with pytorch

pytorch-gpgpu-sim

Modified version of PyTorch able to work with changes to GPGPU-Sim

pu-learn

KnowledgeSharing-Pytorch

Implementations of knowledge distillation and knowledge transfer models in neural networks.

fft-conv-pytorch

Implementation of 1D, 2D, and 3D FFT convolutions in PyTorch. Much faster than direct convolutions for large kernel sizes.

pytorch-v1.1-gpgpu-sim

Modified version of PyTorchv1.1 able to work with changes to GPGPU-Sim

onrobot_rg2