LMDeploy is a toolkit for compressing, deploying, and serving LLMs.

A tutorial for Speech Enhancement researchers and practitioners. The purpose of this repo is to organize the world’s resources for speech enhancement and make them universally accessible and useful.

The SpeechBrain project aims to build a novel speech toolkit fully based on PyTorch. With SpeechBrain users can easily create speech processing systems, ranging from speech recognition (both HMM/DN…

Assamese2Vec is an open source project for modelling the Assamese Language. The models released here can be used for a variety of tasks like classification and translation.

Multi-Task Deep Neural Networks for Natural Language Understanding

Download YouTube video description and video comments without using the YouTube API.

Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!

List of AI Residency Programs

🤗 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.

TensorFlow code and pre-trained models for BERT

Software in C and data files for the popular GloVe model for distributed word representations, a.k.a. word vectors or embeddings

Implementation of the paper "Adversarial Attacks on Neural Networks for Graph Data".

An all-in-one Docker image for deep learning. Contains all the popular DL frameworks (TensorFlow, Theano, Torch, Caffe, etc.)

An attempt at replicating "Neural Turing Machines" in Keras.

Fertilizer Prediction using nutrient contents of soil with added automated IoT based smart farming solution.( in collaboration with @hanras97)

Keras implementations of Generative Adversarial Networks.

starter from "How to Train a GAN?" at NIPS2016

VIP cheatsheets for Stanford's CS 229 Machine Learning

Code Samples from Neural Networks for NLP

Acceptance rates for the major AI conferences

word2vec, sentence2vec, machine reading comprehension, dialog system, text classification, pretrained language model (i.e., XLNet, BERT, ELMo, GPT), sequence labeling, information retrieval, inform…

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

This is an implementation of the CVPR 2018 paper titled - " Unsupervised Image SuperResolution using Cycle-In-Cycle GAN"

A computer algebra system written in pure Python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

Exercises for the book Artificial Intelligence: A Modern Approach

Code for paper "Which Training Methods for GANs do actually Converge? (ICML 2018)"

This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.

Library for fast text representation and classification.

This repository is to prepare for Machine Learning interviews.