ddomingof

ddomingof's Stars

• TheAlgorithms/Python

  All Algorithms implemented in Python

  Language:Python195k5.9k1.5k45.8k

• LAION-AI/Open-Assistant

  OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.

  Language:Python37.1k4311.6k3.2k

• rasbt/LLMs-from-scratch

  Implement a ChatGPT-like LLM in PyTorch from scratch, step by step

  Language:Jupyter Notebook33.7k3641074.1k

• Sinaptik-AI/pandas-ai

  Chat with your database (SQL, CSV, pandas, polars, mongodb, noSQL, etc). PandasAI makes data analysis conversational using LLMs (GPT 3.5 / 4, Anthropic, VertexAI) and RAG.

  Language:Python13.6k1117381.3k

• ydataai/ydata-profiling

  1 Line of code data quality profiling & exploratory data analysis for Pandas and Spark DataFrames.

  Language:Python12.6k1528121.7k

• twitter/the-algorithm-ml

  Source code for Twitter's Recommendation Algorithm

  Language:Python10.1k101412.2k

• pydantic/FastUI

  Build better UIs faster.

  Language:Python8.3k66220320

• PWhiddy/PokemonRedExperiments

  Playing Pokemon Red with Reinforcement Learning

  Language:Jupyter Notebook7k73119645

• udlbook/udlbook

  Understanding Deep Learning - Simon J.D. Prince

  Language:Jupyter Notebook6.6k951901.4k

• iryna-kondr/scikit-llm

  Seamlessly integrate LLMs into scikit-learn.

  Language:Python3.4k3557275

• mckinsey/causalnex

  A Python library that helps data scientists to infer causation rather than observing correlation.

  Language:Python2.2k51141258

• bazingagin/npc_gzip

  Code for Paper: “Low-Resource” Text Classification: A Parameter-Free Classification Method with Compressors

  Language:Python1.8k2521156

• soedinglab/MMseqs2

  MMseqs2: ultra fast and sensitive search and clustering suite

  Language:C1.5k32836199

• pyg-team/pytorch-frame

  Tabular Deep Learning Library for PyTorch

  Language:Python550146556

• DeepGraphLearning/ULTRA

  A foundation model for knowledge graph reasoning

  Language:Python478102264

• mhahsler/arules

  Mining Association Rules and Frequent Itemsets with R

  Language:R193157342

• basf/MolPipeline

  A Python package for processing molecules with RDKit in scikit-learn

  Language:Python1506469

• Exscientia/molflux

  A foundational package for molecular predictive modelling

  Language:Python867511

• wfondrie/depthcharge

  A deep learning toolkit for mass spectrometry

  Language:Python67102019

• Modalities/modalities

  Modalities, a PyTorch-native framework for distributed and reproducible foundation model training.

  Language:Python64111078

• samuelmurail/docking_py

  Docking_py is a python library allowing a simplified use of the Smina, vina, qvina2 and qvinaw docking software. Docking_py can be easily automatize and scripted.

  Language:Python53378

• cthoyt/autoreviewer

  👁️‍🗨️ Scientists often do the same bad stuff. Automate giving feedback during peer review.

  Language:Python25260

• jirifilip/pyIDS

  An implementation of IDS (Interpretable Decision Sets) algorithm.

  Language:Jupyter Notebook23379

• issararab/CToxPred

  Comprehensive cardiotoxicity prediction tool of small molecules on three targets: hERG, Nav1.5, Cav1.2

  Language:Jupyter Notebook18102

• davidkartchner/biomedical-entity-linking

  Language:Jupyter Notebook102213

• sg-wbi/belb

  Biomedical Entity Linking Benchmark

  Language:Python10110

• enveda/ethnobotany

  Source code and data for "Modern drug discovery using ethnobotany: A large-scale cross-cultural analysis of traditional medicine reveals common therapeutic uses"

  Language:Jupyter Notebook11001

• enveda/transcriptomic-target-correlation

  On the correspondence between the transcriptomic response of a compound and its targets

  Language:Jupyter Notebook1701

• repsmonkeyjack/repsmonkeyjack.github.io

  Language:HTML110

• shenxj9/NIMO

  Language:Python10