mabreyes's Stars
meta-llama/llama
Inference code for Llama models
infiniflow/ragflow
RAGFlow is an open-source RAG (Retrieval-Augmented Generation) engine based on deep document understanding.
KindXiaoming/pykan
Kolmogorov Arnold Networks
sjwhitworth/golearn
Machine Learning for Go
gonum/gonum
Gonum is a set of numeric libraries for the Go programming language. It contains libraries for matrices, statistics, optimization, and more
Farama-Foundation/Gymnasium
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
go-echarts/go-echarts
🎨 The adorable charts library for Golang.
cdipaolo/goml
On-line Machine Learning in Go (and so much more)
Instagram/LibCST
A concrete syntax tree parser and serializer library for Python that preserves many aspects of Python's abstract syntax tree
anibali/docker-pytorch
A Docker image for PyTorch
opendilab/awesome-diffusion-model-in-rl
A curated list of Diffusion Model in RL resources (continually updated)
zszazi/Deep-learning-in-cloud
List of Deep Learning Cloud Providers
pyg-team/pytorch-frame
Tabular Deep Learning Library for PyTorch
apexrl/Diff4RLSurvey
This repository contains a collection of resources and papers on Diffusion Models for RL, accompanying the paper "Diffusion Models for Reinforcement Learning: A Survey"
RandomMaerks/Overused-Grotesk
A variable sans serif typeface inspired by the classic neo-grotesk Swiss design
unlearning-challenge/starting-kit
Starting kit for the NeurIPS 2023 unlearning challenge
zzz24512653/CommunityDetection
Implements of community detection algorithms
gomlx/gomlx
GoMLX: An Accelerated Machine Learning Framework For Go
ip200/venn-abers
Python implementation of binary and multi-class Venn-ABERS calibration
cyclomon/3dbraingen
Official Pytorch Implementation of "Generation of 3D Brain MRI Using Auto-Encoding Generative Adversarial Network" (accepted by MICCAI 2019)
Unity-Technologies/go-xgboost
XGBoost bindings for golang
neo4j/helm-charts
PacktPublishing/Mastering-Spark-for-Data-Science
Mastering Spark for Data Science, published by Packt
gradient-ai/base-container
Base Gradient Container
o-laurent/multivariate-ks-test
Python implementation of an extension of the Kolmogorov-Smirnov test for multivariate samples
RUIYUN-ML/ERM-KTP
gtzinos/BigData-Graph-Analysis
Probably the first scalable and open source triangle count based on each edge, on scala and spark for every Big Dataset. (Louvain)
bchhabra2490/kubernetes
univ-esuty/3dmodel_VAE_with_pytorch3d
3d model VAE with pytorch3d. it learns and generates mesh and textures at the same time.
angeljcarrillo/VAE_3D_MRI
Create 3D images