avmoldovan's Stars
rasbt/LLMs-from-scratch
Implementing a ChatGPT-like LLM in PyTorch from scratch, step by step
tencent-ailab/persona-hub
Official repo for the paper "Scaling Synthetic Data Creation with 1,000,000,000 Personas"
Doriandarko/maestro
A framework for Claude Opus to intelligently orchestrate subagents.
potamides/DeTikZify
Synthesizing Graphics Programs for Scientific Figures and Sketches with TikZ
open-webui/open-webui
User-friendly WebUI for AI (Formerly Ollama WebUI)
princeton-nlp/SWE-agent
SWE-agent takes a GitHub issue and tries to automatically fix it, using GPT-4, or your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges.
alexfanjn/Graph-Neural-Networks-With-Heterophily
This repository contains the resources on graph neural network (GNN) considering heterophily.
rahulnyk/knowledge_graph
Convert any text to a graph of knowledge. This can be used for Graph Augmented Generation or Knowledge Graph based QnA
lcdm-uiuc/PyIF
An open source implementation to compute bi-variate Transfer Entropy.
dmlc/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
jianhao2016/GPRGNN
allenai/unified-io-2
kserve/open-inference-protocol
Repository for open inference protocol specification
visenger/awesome-mlops
A curated list of references for MLOps
deployKF/deployKF
deployKF builds machine learning platforms on Kubernetes. We combine the best of Kubeflow, Airflow†, and MLflow† into a complete platform.
rasbt/mlxtend
A library of extension and helper modules for Python's data analysis and machine learning libraries.
ashishpatel26/Tools-to-Design-or-Visualize-Architecture-of-Neural-Network
Tools to Design or Visualize Architecture of Neural Network
ShizheHu/TPAMI24_Awesome-Information-Bottleneck
Papers, codes, datasets, researchers on information bottleneck
AI4Finance-Foundation/FinRL-Trading
For trading. Please star.
sar-gupta/weakly-supervised-localization-survey
Survey of various algorithms for weakly supervised object localization using pre-trained CNNs in PyTorch
wangyongjie-ntu/Awesome-explainable-AI
A collection of research materials on explainable AI/ML
jbmouret/matplotlib_for_papers
Handout for the tutorial "Creating publication-quality figures with matplotlib"
nicolas-gervais/predicting-car-price-from-scraped-data
Picture and specifications scraper
anokland/local-loss
PyTorch code for training neural networks without global back-propagation
davidstutz/latex-resources
Collection of LaTeX resources and examples.
PetarV-/TikZ
Complete collection of my PGF/TikZ figures.
mtbrandy/pytorch
Please visit https://github.com/IBM/pytorch-large-model-support for the latest information on PyTorch LMS.
nuclio/nuclio-jupyter
Nuclio Function Automation for Python and Jupyter
mortezamg63/Accessing-and-modifying-different-layers-of-a-pretrained-model-in-pytorch
vdumoulin/conv_arithmetic
A technical report on convolution arithmetic in the context of deep learning