SALMONN: Speech Audio Language Music Open Neural Network

Word Embeddings for Information Retrieval

A curated list of awesome papers related to pre-trained models for information retrieval (a.k.a., pretraining for IR).

Pytorch implementation of DetectGPT (https://arxiv.org/pdf/2301.11305v1.pdf)

Code base for "Fast-DetectGPT: Efficient Zero-Shot Detection of Machine-Generated Text via Conditional Probability Curvature".

DetectGPT: Zero-Shot Machine-Generated Text Detection using Probability Curvature

speechlib is a library that can do speaker diarization, transcription and speaker recognition on an audio file to create transcripts with actual speaker names

The collection of pre-trained, state-of-the-art AI models for ailia SDK

Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Best Practices on Recommendation Systems

A list of Machine Learning Learning based on classical ML and deep learning models.

Design Pattern Examples in C++

Keras implementations of Generative Adversarial Networks.

Graph Neural Networks with Keras and Tensorflow 2.

In-depth tutorials for implementing deep learning models on your own with PyTorch.

Production Machine Learning Pipeline for Text Classification with fastText

Fast and Accurate ML in 3 Lines of Code

PyTorch implementation of "Supervised Contrastive Learning" (and SimCLR incidentally)

Elastic weight consolidation technique for incremental learning.

Keras implementation of Representation Learning with Contrastive Predictive Coding

Useful extra functionality for TensorFlow 2.x maintained by SIG-addons

Lingvo

Portfolio of data science projects completed by me for academic, self learning, and hobby purposes.

Implementation of recent Deep Learning papers

Open Machine Learning Course

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…

Out-of-Core DataFrames for Python, visualize and explore big tabular data at a billion rows per second.

This repo contains solutions for problems on Data Structure and Algorithms, from InterviewBit, LeetCode and HackerRank. Some problems are categorized topicwise as dp, graph, greedy, array, etc and …

Python package for stacking (machine learning technique)