An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
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Updated
Jan 22, 2024 - Python
An open-access book on numpy vectorization techniques, Nicolas P. Rougier, 2017
VMAS is a vectorized differentiable simulator designed for efficient Multi-Agent Reinforcement Learning benchmarking. It is comprised of a vectorized 2D physics engine written in PyTorch and a set of challenging multi-robot scenarios. Additional scenarios can be implemented through a simple and modular interface.
General Virtual Sketching Framework for Vector Line Art (SIGGRAPH 2021)
A vectorized implementation of py_vollib, that supports numpy arrays and pandas Series and DataFrames.
A web UI Project In order to learn the large language model. This project includes features such as chat, quantization, fine-tuning, prompt engineering templates, and multimodality.
An application to translate raster image of CAD drawing sheet to a user editable DXF format.
Bitmap to Vector Conversion. Woodcut, guilloche, halftone effects
Fast Digital Signal Processing for particle detector signals in Python
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
Extension to hypothesis for testing numpy general universal functions
An implementation of GIMP's Color to Alpha Algorithm using Streamlit. Additional settings to determine RGB-distances and alpha interpolation available to the user.
Tools for extracting vector representations of JSON documents
Implementation of Motion Planning via Optimal Transport (MPOT) in PyTorch, NeurIPS 2023.
Load embeddings and featurize your sentences.
Vectorization techniques for fast population-based training.
A simple vectorized implementation of a Convolutional Neural Network in plain Numpy && more
Multi-threaded matrix multiplication and cosine similarity calculations for dense and sparse matrices. Appropriate for calculating the K most similar items for a large number of items by chunking the item matrix representation (embeddings) and using Numba to accelerate the calculations.
fast + parallel AlphaZero in JAX
The 3DPlan algorithm was developed during my diploma thesis, entitled "Automated detection of edges in point clouds using semantic information", at the School of Rural and Surveying Engineering of the National Technical University of Athens, which is available at ThodorisBetsas_DiplomaThesis. At first, the 3DPlan algorithm enriches the given ima…
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