sunilgodara

sunilgodara's Stars

• danswer-ai/danswer

  Gen-AI Chat for Teams - Think ChatGPT if it had access to your team's unique knowledge.

  Language:Python10.8k1.4k

• llmware-ai/llmware

  Unified framework for building enterprise RAG pipelines with small, specialized models

  Language:Python8.3k1.5k

• rasbt/mlxtend

  A library of extension and helper modules for Python's data analysis and machine learning libraries.

  Language:Python4.9k873

• conceptofmind/LaMDA-rlhf-pytorch

  Open-source pre-training implementation of Google's LaMDA in PyTorch. Adding RLHF similar to ChatGPT.

  Language:Python46676

• tatsu-lab/stanford_alpaca

  Code and documentation to train Stanford's Alpaca models, and generate the data.

  Language:Python29.6k4.1k

• megagonlabs/ditto

  Code for the paper "Deep Entity Matching with Pre-trained Language Models"

  Language:Python26289

• rapidsai/cugraph

  cuGraph - RAPIDS Graph Analytics Library

  Language:Cuda1.8k304

• huggingface/transformers

  🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

  Language:Python136k27.2k

• ikatsov/tensor-house

  A collection of reference Jupyter notebooks and demo AI/ML applications for enterprise use cases: marketing, pricing, supply chain, smart manufacturing, and more.

  Language:Jupyter Notebook1.3k474

• microsoft/nni

  An open source AutoML toolkit for automate machine learning lifecycle, including feature engineering, neural architecture search, model compression and hyper-parameter tuning.

  Language:Python14.1k1.8k

• NicolasHug/Surprise

  A Python scikit for building and analyzing recommender systems

  Language:Python6.4k1k

• dennybritz/nn-from-scratch

  Implementing a Neural Network from Scratch

  Language:Jupyter Notebook2k992

• dennybritz/deeplearning-papernotes

  Summaries and notes on Deep Learning research papers

  4.4k903

• dennybritz/reinforcement-learning

  Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

  Language:Jupyter Notebook20.7k6k

• r0f1/datascience

  Curated list of Python resources for data science.

  4.3k693

• ray-project/ray

  Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

  Language:Python34.3k5.8k

• MartinThoma/banana-gym

  A simple stochastic OpenAI environment for training RL agents

  Language:Python8934

• shap/shap

  A game theoretic approach to explain the output of any machine learning model.

  Language:Jupyter Notebook23k3.3k

• pixiedust/pixiedust

  Python Helper library for Jupyter Notebooks

  Language:Jupyter Notebook1k162

• MartinThoma/mpu

  Martins Python Utilities - Stuff that comes in Handy

  Language:Python608

• jupyter/jupyter

  Jupyter metapackage for installation, docs and chat

  Language:Python15k4.1k

• PaddlePaddle/VisualDL

  Deep Learning Visualization Toolkit（『飞桨』深度学习可视化工具 ）

  Language:HTML4.8k629

• tqdm/tqdm

  :zap: A Fast, Extensible Progress Bar for Python and CLI

  Language:Python28.8k1.4k

• donnemartin/data-science-ipython-notebooks

  Data science Python notebooks: Deep learning (TensorFlow, Theano, Caffe, Keras), scikit-learn, Kaggle, big data (Spark, Hadoop MapReduce, HDFS), matplotlib, pandas, NumPy, SciPy, Python essentials, AWS, and various command lines.

  Language:Python27.6k7.9k

• ydataai/ydata-profiling

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

  Language:Python12.6k1.7k

• facebookresearch/fastText

  Library for fast text representation and classification.

  Language:HTML26k4.7k

• sbelak/huri

  Tools for the lazy data scientist

  Language:Clojure22517

• uncomplicate/neanderthal

  Fast Clojure Matrix Library

  Language:Clojure1.1k55

• josephmisiti/awesome-machine-learning

  A curated list of awesome Machine Learning frameworks, libraries and software.

  Language:Python66.2k14.7k

• fossasia/visdom

  A flexible tool for creating, organizing, and sharing visualizations of live, rich data. Supports Torch and Numpy.

  Language:Python10.1k1.1k