dehdari

dehdari's Stars

• dbeaver/dbeaver

  Free universal database tool and SQL client

  Language:Java40.1k52417.7k3.5k

• streamlit/streamlit

  Streamlit — A faster way to build and share data apps.

  Language:Python35.2k3204.6k3k

• recommenders-team/recommenders

  Best Practices on Recommendation Systems

  Language:Python19k2738663.1k

• iterative/dvc

  🦉 Data Versioning and ML Experiments

  Language:Python13.7k1384.7k1.2k

• ydataai/ydata-profiling

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

  Language:Python12.5k1538081.7k

• BurntSushi/xsv

  A fast CSV command line toolkit written in Rust.

  Language:Rust10.4k100255325

• pycaret/pycaret

  An open-source, low-code machine learning library in Python

  Language:Jupyter Notebook8.9k1342.3k1.8k

• interpretml/interpret

  Fit interpretable models. Explain blackbox machine learning.

  Language:C++6.3k144446726

• tensorflow/tpu

  Reference models and tools for Cloud TPUs.

  Language:Jupyter Notebook5.2k3534731.8k

• r0f1/datascience

  Curated list of Python resources for data science.

  4.2k1422687

• ResidentMario/missingno

  Missing data visualization module for Python.

  Language:Python3.9k77134518

• facebookresearch/dlrm

  An implementation of a deep learning recommendation model (DLRM)

  Language:Python3.7k107212835

• facebookresearch/ReAgent

  A platform for Reasoning systems (Reinforcement Learning, Contextual Bandits, etc.)

  Language:Python3.6k148109521

• tamarott/SinGAN

  Official pytorch implementation of the paper: "SinGAN: Learning a Generative Model from a Single Natural Image"

  Language:Python3.3k64160612

• seungeunrho/minimalRL

  Implementations of basic RL algorithms with minimal lines of codes! (pytorch based)

  Language:Python2.9k4940463

• AppliedDataSciencePartners/DeepReinforcementLearning

  A replica of the AlphaZero methodology for deep reinforcement learning in Python

  Language:Jupyter Notebook2k10340759

• MiteshPuthran/Speech-Emotion-Analyzer

  The neural network model is capable of detecting five different male/female emotions from audio speeches. (Deep Learning, NLP, Python)

  Language:Jupyter Notebook1.3k3762436

• andosa/treeinterpreter

  Language:Python7452526141

• dmlc/treelite

  Universal model exchange and serialization format for decision tree forests

  Language:C++7333923299

• Xtra-Computing/thundergbm

  ThunderGBM: Fast GBDTs and Random Forests on GPUs

  Language:C++693268187

• polyaxon/traceml

  Engine for ML/Data tracking, visualization, explainability, drift detection, and dashboards for Polyaxon.

  Language:Python502131443

• xuanjihe/speech-emotion-recognition

  speech emotion recognition using a convolutional recurrent networks based on IEMOCAP

  Language:Python3891343142

• sherpa-ai/sherpa

  Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

  Language:JavaScript333115853

• LGE-ARC-AdvancedAI/auptimizer

  An automatic ML model optimization tool.

  Language:Python20121629

• Samarth-Tripathi/IEMOCAP-Emotion-Detection

  Multi-modal Emotion detection from IEMOCAP on Speech, Text, Motion-Capture Data using Neural Nets.

  Language:Jupyter Notebook16191175

• FrancescoSaverioZuppichini/Reinforcement-Learning-Cheat-Sheet

  Reinforcement Learning Cheat Sheet

  Language:TeX15219051

• ajdruff/git-splits

  Extracts multiple directories of a git repo into a new branch

  Language:Shell665415

• Teradata/sqlalchemy-teradata

  A SQLAlchemy dialect for Teradata

  Language:Python59267021

• groupon/tdsql

  Run SQL queries against a Teradata data warehouse server

  Language:Perl2910415

• bigdelys/qascade

  Qascade: Cascading File Keys

  Language:MATLAB1200