Sina Torfi

:earth_americas: Simple and ready-to-use tutorials for TensorFlow

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

:unlock: Lip Reading - Cross Audio-Visual Recognition using 3D Architectures

:speech_balloon: SpeechPy - A Library for Speech Processing and Recognition: http://speechpy.readthedocs.io/en/latest/

A comprehensive guide designed to empower readers with advanced strategies and practical insights for developing, optimizing, and deploying scalable AI models in real-world applications.

A comprehensive template for aligning large language models (LLMs) using Reinforcement Learning from Human Feedback (RLHF), transfer learning, and more. Build your own customizable LLM alignment solution with ease.

:satellite: Organized Resources for Deep Learning Researchers and Developers

:satellite: Organized Resources for Deep Learning in Natural Language Processing

:earth_americas: Simple and ready-to-use deep learning examples for the Microsoft Cognitive Toolkit (CNTK)

:e-mail: Automated Customized Emails Using Python

:speaker: Deep Learning & 3D Convolutional Neural Networks for Speaker Verification

:speech_balloon: Sequence to Sequence from Scratch Using Pytorch

:unlock: COR-GAN: Correlation-Capturing Convolutional Neural Networks for Generating Synthetic Healthcare Records

QR Code Pattern Recognition and Message Extraction

Attention-Based Guided Structured Sparsity of Deep Neural Networks

:satellite: Organized & Useful Resources about Deep Learning with TensorFlow

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A curated list of awesome Deep Learning tutorials, projects and communities.

Exploring audio generation through diffusion models

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LLMetaLab

A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning

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Generative adversarial network for generating electronic health records.

PyTorch Tutorial for Deep Learning Researchers

Simple and comprehensive tutorials in TensorFlow

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Deep learning for 12-lead ECG interpretation

A best practice for tensorflow project template architecture.

A list of all named GANs!

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🚀 Create a dynamic portfolio by just providing your GitHub username.

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

A tool for semi-automatic cell type classification

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Tutorial for AutoGen with Amadeus flights API, Parallel Function Calls

A playbook for systematically maximizing the performance of deep learning models.

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.

FinRL: Financial Reinforcement Learning. 🔥

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Free Data Engineering course!

Repository contains the detail about ML model deployment and building end-to-end ML pipeline for production

Repo that relates to the Medium blog 'Keeping your ML model in shape with Kafka, Airflow' and MLFlow'

MONAI Tutorials

A complete computer science study plan to become a software engineer.

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Programming assignments from all courses in the Coursera Natural Language Processing Specialization offered by deeplearning.ai.

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Implementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering

Latex code for making neural networks diagrams

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.

Awesome multilingual OCR toolkits based on PaddlePaddle （multilingual recognition: English, Chinese, Korean, Japanese, German, French etc. 3.5M practical ultra lightweight OCR system, support training and deployment among server, mobile, embedded and IoT devices）

Jupyter notebooks for teaching/learning Python 3

💿 Free software that works great, and also happens to be open-source Python.

An open source framework for seq2seq models in PyTorch.

Automatic Speech Recognition, Speaker Verification, Speech Synthesis, Language Modeling

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

A Keras/Theano implementation of "Reading Text in the Wild with Convolutional Neural Networks" by M Jaderberg et.al.

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Sentence Embeddings with BERT & XLNet

Training PyTorch models with differential privacy

🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org

Aligning pretrained language models with instruction data generated by themselves.

An efficient API documentation management tool that fully adheres to the OpenAPI specification and incorporates advanced LLM technology. This tool can automate the generation of API documentation, data models, and test cases, greatly enhancing development efficiency and documentation quality.

proof of concept to generate Airbyte low-code YAML connectors from API documentation

It is my belief that you, the postgraduate students and job-seekers for whom the book is primarily meant will benefit from reading it; however, it is my hope that even the most experienced researchers will find it fascinating as well.

Protect your machine learning models easily and securely with watermarking 🔑

This is a repository containing the list of company wise questions available on leetcode premium. Every pdf file in this repository corresponds to a list of questions on leetcode for a specific company based on the leetcode company tags.

A curated collection of useful Python snippets that you can understand in 30 seconds or less.

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Kafka variant of the MLOps Level 1 stack

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https://huyenchip.com/ml-interviews-book/

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

This repo is meant to serve as a guide for Machine Learning/AI technical interviews.

Pytorch codes for "Self-supervised Multi-view Stereo via Effective Co-Segmentation and Data-Augmentation"

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

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Official Pytorch Code of KiU-Net for Image/3D Segmentation - MICCAI 2020 (Oral), IEEE TMI

The codes for the work "Swin-Unet: Unet-like Pure Transformer for Medical Image Segmentation"

A PyTorch-based library for working with 3D and 2D convolutional neural networks, with focus on semantic segmentation of volumetric biomedical image data

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Codes for the ICML20' paper: On Breaking Deep Generative Model based Defenses and Beyond

Breaching privacy in federated learning scenarios for vision and text

Code for NAACL 2022 paper "You Don’t Know My Favorite Color: Preventing Dialogue Representations from Revealing Speakers’ Private Personas"

Unofficial pytorch implementation of paper: Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures

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Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

TextAttack 🐙 is a Python framework for adversarial attacks, data augmentation, and model training in NLP https://textattack.readthedocs.io/en/master/

Training data extraction on GPT-2

Unofficial pytorch implementation of paper: Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment

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Code for "Neural Network Inversion in Adversarial Setting via Background Knowledge Alignment" (CCS 2019)

RobustBench: a standardized adversarial robustness benchmark [NeurIPS'21 Benchmarks and Datasets Track]

Tools for computational pathology

A little benchmark comparing Pandas data frames serialization formats

LexNLP by LexPredict

:alarm_clock: AI conference deadline countdowns

Pytorch Implementation of ClusterGAN (arXiv:1809.03627)

Reading Wikipedia to Answer Open-Domain Questions

Implementation of InfoGAN using PyTorch lightning

Self-Supervised Learning Toolbox and Benchmark

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"

Repository for few-shot learning machine learning projects

Graphical Realism Framework for Industrial Control Simulations

Predicting ICD Codes from Clinical Notes

It is a tensorflow implementation of GNMT

Tensorflow 2.0 implementation of automatic punctuation with RNN + attention

A TensorFlow Implementation of Punctuation Restoration.

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Code for our paper "Multi-scale Guided Attention for Medical Image Segmentation"

:clipboard: A Python Parser for PubMed Open-Access XML Subset and MEDLINE XML Dataset

Text Classification Algorithms: A Survey

PyMed is a Python library that provides access to PubMed.

Helping open-source developers distribute and monetize their software

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

BioBERT: a pre-trained biomedical language representation model

Profile repository

Library for converting clinical trial eligibility criteria to a machine-readable format.

AmsterdamUMCdb - Freely Accessible ICU database

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Implementation of "Pix2Vox: Context-aware 3D Reconstruction from Single and Multi-view Images" (Xie et al., ICCV 2019)

Patient-specific reconstruction of volumetric computed tomography images from few-view projections via deep learning

Sparse Variational Dropout, ICML 2017

Library for training machine learning models with privacy for training data

Easy TOC creation for GitHub README.md

A TensorFlow implementation of Scalable Distributed Deep-RL with Importance Weighted Actor-Learner Architectures.

Python libraries for Google Colaboratory

HTML-only Share Buttons

A PyTorch library for two-sample tests

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Pytorch implementation of DCGAN, WGAN-CP, WGAN-GP

Research Framework for easy and efficient training of GANs based on Pytorch

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PyTorch deep learning projects made easy.

My implementation of useful data structures, algorithms, as well as my solutions to programming puzzles.

Returns latest research results by crawling arxiv papers and summarizing abstracts. Helps you stay afloat with so many new papers everyday.

:star: Use repo badges (build passing, coverage, etc) in your readme/markdown file to signal code quality in a project.

A list of papers on Generative Adversarial (Neural) Networks

This is an implementation of Convolutional AutoEncoder using only TensorFlow

The classical paper list with code about generative adversarial nets

Curated list of awesome GAN applications and demo

Business Plan Template in LaTeX

Machine Learning Yearning book by 🅰️𝓷𝓭𝓻𝓮𝔀 🆖

Neural networks for monitoring cardiac data

💬 Slides and supplementary codes for my talk 'Debugging Tips on TensorFlow' (2016)

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Sequence-to-Sequence learning using PyTorch

This repository is for my students of Udemy. You can find all lecture codes along with mentioned files for reading in here. So, feel free to clone it and if you have any problem just raise a question.

TensorFlow Neural Machine Translation Tutorial

In pytorch Learing Neural Networks likes CNN(Convolutional Neural Networks for Sentence Classification (Y.Kim, EMNLP 2014) 、LSTM、BiLSTM、DeepCNN 、CLSTM、CNN and LSTM

Code for "Divide-and-Conquer Reinforcement Learning"

Deep Reinforcement Learning For Sequence to Sequence Models

Code for ACL 2018 paper: "Fast Abstractive Summarization with Reinforce-Selected Sentence Rewriting. Chen and Bansal"

Full text geoparsing as a Python library

HDLTex: Hierarchical Deep Learning for Text Classification

A library for generalized sequence to sequence models

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Sparse and structured neural attention mechanisms

Deep Speaker: an End-to-End Neural Speaker Embedding System https://arxiv.org/pdf/1705.02304.pdf

A wizard's guide to Adversarial Autoencoders

Geolocation prediction for a given Tweet

A two-page cheatsheet for restructured text

:octocat: Open Source & Licence Badges

Face recognition using Tensorflow

Image augmentation library in Python for machine learning.

Character-level Convolutional Neural Networks for text classification in PyTorch

Oxford Deep NLP 2017 course

End-to-end Automatic Speech Recognition for Madarian and English in Tensorflow

A PyTorch Implementation of Single Shot MultiBox Detector

Tensorflow implementation of YOLO, including training and test phase.

TensorFlow implementation of the YOLO (You Only Look Once)

tensorflow implementation of 'YOLO : Real-Time Object Detection'(train and test)

tensorflow implementation of 'YOLO : Real-Time Object Detection'

Bare bones Python implementations of Machine Learning models and algorithms. Aims to cover everything from Data Mining techniques to Deep Learning.

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Template for Latex and/or Pandoc to quickly write reviews and (author) response letters

Computation using data flow graphs for scalable machine learning

A set of IPython notebooks and learning resources for an Introduction to Programming class, focusing on Python.

Accompanying source code for Machine Learning with TensorFlow. Refer to the book for step-by-step explanations.

IPython Notebooks to learn Python

TensorFlow Implementation of "Show, Attend and Tell"

Combined Group and Exclusive Sparsity for Deep Neural Networks

Dense image captioning in Torch

the basics of a Tinder-like swipeable cards interface based off of http://guti.in/articles/creating-tinder-like-animations/

Models built with TensorFlow