-
Heidelberg University
- Germany
- https://aminaminifar.github.io/info
- https://orcid.org/0000-0002-9920-2539
- in/aminaminifar
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Deep and online learning with spiking neural networks in Python
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
The simplest, fastest repository for training/finetuning medium-sized GPTs.
Send email in Python conveniently for gmail using yagmail
🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Dirty-MNIST dataset introduced in "Deterministic Neural Networks with Inductive Biases Capture Epistemic and Aleatoric Uncertainty" (https://arxiv.org/abs/2102.11582)
Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty
AISTATS paper 'Uncertainty in Neural Networks: Approximately Bayesian Ensembling'
Python libraries for Google Colaboratory
LightFF: Lightweight Inference for Forward-Forward Algorithm
Extremely Randomized Trees with Privacy Preservation for Distributed Data (k-PPD-ERT)
Replace 'hub' with 'ingest' in any GitHub URL to get a prompt-friendly extract of a codebase
Cross-platform lib for process and system monitoring in Python
A Python module to customize the process title
Python library for audio and music analysis
The leading native Python SSHv2 protocol library.
WinSCP is a popular free file manager for Windows supporting SFTP, FTP, FTPS, SCP, S3, WebDAV and local-to-local file transfers. A powerful tool to enhance your productivity with a user-friendly in…
A series of tutorials teaching the use of Python for epileptic seizure detection on open-source datasets
Lib for event and sample based performance metrics
pyedflib is a python library to read/write EDF+/BDF+ files based on EDFlib.
Development tool to measure, monitor and analyze the memory behavior of Python objects in a running Python application.
A collection of resources and papers on Diffusion Models