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State-of-the-Art Deep Learning scripts organized by models - easy to train and deploy with reproducible accuracy and performance on enterprise-grade infrastructure.
YSDA course in Natural Language Processing
PyTorch code and models for the DINOv2 self-supervised learning method.
This repository contains demos I made with the Transformers library by HuggingFace.
this repository accompanies the book "Grokking Deep Learning"
YOLOv6: a single-stage object detection framework dedicated to industrial applications.
PyTorch code for BLIP: Bootstrapping Language-Image Pre-training for Unified Vision-Language Understanding and Generation
Language-Agnostic SEntence Representations
A python library for decision tree visualization and model interpretation.
A Unified Library for Parameter-Efficient and Modular Transfer Learning
Code for the Make Your Own Neural Network book
Efficient few-shot learning with Sentence Transformers
Beyond Accuracy: Behavioral Testing of NLP models with CheckList
OneFormer: One Transformer to Rule Universal Image Segmentation, arxiv 2022 / CVPR 2023
Keras implementation of "One pixel attack for fooling deep neural networks" using differential evolution on Cifar10 and ImageNet
Repository for NeurIPS 2020 Spotlight "AdaBelief Optimizer: Adapting stepsizes by the belief in observed gradients"
SGPT: GPT Sentence Embeddings for Semantic Search
LUKE -- Language Understanding with Knowledge-based Embeddings
Implementation of some classic Machine Learning model from scratch and benchmarking against popular ML library
String-to-String Algorithms for Natural Language Processing
Official implementation of Würstchen: Efficient Pretraining of Text-to-Image Models
Natural Language Toolkit for Malaysian language, https://malaya.readthedocs.io/
PaCMAP: Large-scale Dimension Reduction Technique Preserving Both Global and Local Structure