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fire

Language Identification of code-mixed social media text

fsdl-text-recognizer-project

gans

Generative Adversarial Networks implemented in PyTorch and Tensorflow

getting-things-done-with-pytorch

Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BERT.

gpt4all

gpt4all: a chatbot trained on a massive collection of clean assistant data including code, stories and dialogue

grokking-deep-learning

this repository accompanies the book "Grokking Deep Learning"

hierarchical-dnn-interpretations

Using / reproducing ACD (ICLR 2019) from the paper "Hierarchical interpretations for neural network predictions"

indaba-pracs-2019

influence-release

infofostering

information-fostering

infoseeking-task-modeling

interpret

Fit interpretable models. Explain blackbox machine learning.

interpretable-machine-learning-with-python-2e

Interpretable ML with Python, 2E - published by Packt

itrustai-tutorials

jupyter

Jupyter metapackage for installation, docs and chat

keras-gan

Keras implementations of Generative Adversarial Networks.

last-minute-notes-of-machine-learning-and-deep-learning

Last Minute Note of Machine learning and Deep learning by Jason Brownlee

leads-publisher-names

lime

Lime: Explaining the predictions of any machine learning classifier

literaturedl4graph

llm-lobbyist

Code for the paper: "Large Language Models as Corporate Lobbyists" (2023).

llmware

Providing enterprise-grade LLM-based development framework, tools, and fine-tuned models.

macaw

An Extensible Conversational Information Seeking Platform

manifest

Prompt programming with FMs.

maximummargingans

Code for paper: "Support Vector Machines, Wasserstein's distance and gradient-penalty GANs maximize a margin"

meld

MELD: A Multimodal Multi-Party Dataset for Emotion Recognition in Conversation

micrograd

A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API

misa

MISA: Modality-Invariant and -Specific Representations for Multimodal Sentiment Analysis

ml-from-scratch

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.