An Open Source implementation of Notebook LM with more flexibility and features
- assistant
- learning
- note-taking
- notebook
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Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep learning.
- machine-learning
- deep-learning
- deep-reinforcement-learning
- machine-learning-from-scratch
50+ tutorials and implementations for Generative AI Agent techniques, from basic conversational bots to complex multi-agent systems.
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
This repository contains implementations and illustrative code to accompany DeepMind publications
llama3 implementation one matrix multiplication at a time
Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
- scaled-yolov4
- yolor
- yolov3
- yolov4
🔥 A well-tested feature-rich modular Firebase implementation for React Native. Supports both iOS & Android platforms for all Firebase services.
Reference PyTorch implementation and models for DINOv3
An implementation of the Grammar of Graphics in R
- r
- visualisation
- data-visualisation
JAX implementation of OpenAI's Whisper model for up to 70x speed-up on TPU.
C++ implementation of the Python Numpy library
- python
- numpy
- c-plus-plus
- numerical-analysis
A curated list of community detection research papers with implementations.
- graph-clustering
- network-clustering
- clustering
- dimensionality-reduction
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
Clean APIs for data cleaning. Python implementation of R package Janitor
- pandas
- dataframe
- data
- cleaning-data
Python implementation of CMA-ES
TensorFlow Implementation of "Show, Attend and Tell"
- tensorflow
- image-captioning
- show-attend-and-tell
- attention-mechanism
A Python Pandas implementation of technical analysis indicators
TensorFlow implementation of an arbitrary order Factorization Machine
- factorization-machines
- tensorflow
- research-project
A blazing fast matrix library for Elixir/Erlang with C implementation using CBLAS.
A scikit-learn-compatible Python implementation of ReBATE, a suite of Relief-based feature selection algorithms for Machine Learning.
- feature-selection
- data-science
- python
an iOS open source Radar Chart implementation
Implementation of various topic models