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 lear…

Code samples for my book "Neural Networks and Deep Learning"

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

Practical Python Programming (course by @dabeaz)

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

BertViz: Visualize Attention in NLP Models (BERT, GPT2, BART, etc.)

cryptography is a package designed to expose cryptographic primitives and recipes to Python developers.

Code release for ConvNeXt model

A Python package for segmenting geospatial data with the Segment Anything Model (SAM)

Keras Attention Layer (Luong and Bahdanau scores).

A Unified Library for Parameter-Efficient and Modular Transfer Learning

The Natural Language Decathlon: A Multitask Challenge for NLP

Just a really simple, insecure and incomplete implementation of a blockchain for a cryptocurrency made in Python as educational material. In other words, a simple Bitcoin clone.

Simple transformer implementation from scratch in pytorch. (archival, latest version on codeberg)

📝 This repository recorded my NLP journey.

A Collection Of The State-of-the-art Metaheuristic Algorithms In Python (Metaheuristic/Optimizer/Nature-inspired/Biology)

An intuitive library to extract features from time series.

PyTorch Library for Active Learning to accompany Human-in-the-Loop Machine Learning book

OBSOLETE - Dash v2.11+ has Jupyter support built in!

This repo contains a PyTorch implementation of a pretrained BERT model for multi-label text classification.

Phylogenetic orthology inference for comparative genomics

Dataset of diseased plant leaf images and corresponding labels

An Open-Source Package for Textual Adversarial Attack.

BiomedGPT: A Generalist Vision-Language Foundation Model for Diverse Biomedical Tasks

🐦 Opytimizer is a Python library consisting of meta-heuristic optimization algorithms.

license plate detection and recognition

OSLO: Open Source framework for Large-scale model Optimization

DFF (Digital Forensics Framework) is a Forensics Framework coming with command line and graphical interfaces. DFF can be used to investigate hard drives and volatile memory and create reports about…

A standardized Python API with necessary preprocessing, machine learning and explainability tools to facilitate graph-analytics in computational pathology.

Hadoop (Utilities, Patches and Examples)