Jelle Visser's starred repositories

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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CLIP

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

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openai-python

The official Python library for the OpenAI API

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alpaca-lora

Instruct-tune LLaMA on consumer hardware

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generative_agents

Generative Agents: Interactive Simulacra of Human Behavior

DearPyGui

Dear PyGui: A fast and powerful Graphical User Interface Toolkit for Python with minimal dependencies

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.

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open_clip

An open source implementation of CLIP.

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doccano

Open source annotation tool for machine learning practitioners.

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nebuly

The user analytics platform for LLMs

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pyTelegramBotAPI

Python Telegram bot api.

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axolotl

Go ahead and axolotl questions

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pyAudioAnalysis

Python Audio Analysis Library: Feature Extraction, Classification, Segmentation and Applications

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marqo

Unified embedding generation and search engine. Also available on cloud - cloud.marqo.ai

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transfer-learning-conv-ai

🦄 State-of-the-Art Conversational AI with Transfer Learning

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traingenerator

🧙 A web app to generate template code for machine learning

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vqa.pytorch

Visual Question Answering in Pytorch

datacomp

DataComp: In search of the next generation of multimodal datasets

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minLoRA

minLoRA: a minimal PyTorch library that allows you to apply LoRA to any PyTorch model.

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vqa-winner-cvprw-2017

Pytorch implementation of winner from VQA Chllange Workshop in CVPR'17

mesa-examples

Seminal agent-based models developed using Mesa

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hestia

Hestia scrapes real estate websites for new rental listings

pihole-router

How-to files for configuring a Pi-Hole as a Network Router

traktor-scripts

Python scripts for Traktor Pro

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seq2seq-pytorch

Seq2seq model with global attention implemented with PyTorch

San-Pytorch

Let us try implementing SAN in pytorch from scratch

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imagemorph.c

Program to apply random elastic rubbersheet transforms to Netpbm color (.ppm, i.e., P6 raw color) images for augmenting training sets in machine learning/deep learning. The program reads an input .ppm image from stdin and writes a ppm image to stdout. Original Author: Marius Bulacu (.pgm version for characters). Adapted for .ppm and color: Lambert Schomaker. Please cite: M Bulacu, A Brink, T van der Zant, L Schomaker (2009). Recognition of handwritten numerical fields in a large single-writer historical collection, 10th International Conference on Document Analysis and Recognition, pp. 808-812, DOI: 10.1109/ICDAR.2009.8

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