An Open Source Machine Learning Framework for Everyone

🤗 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.

Graph Neural Network Library for PyTorch

Java 1-21 Parser and Abstract Syntax Tree for Java with advanced analysis functionalities.

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

A class for Technion IIT PhD/Masters theses - with a sample thesis using it

Lingvo

TensorFlow GNN is a library to build Graph Neural Networks on the TensorFlow platform.

Open Source Neural Machine Translation and (Large) Language Models in PyTorch

Code repo for "WebArena: A Realistic Web Environment for Building Autonomous Agents"

AudioSample is an optimized numpy-like audio manipulation library, created for researchers, used by developers.

A PyTorch Graph Neural Network Library

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 research…

Code for the model presented in the paper: "code2seq: Generating Sequences from Structured Representations of Code"

[ICLR'24 spotlight] An open platform for training, serving, and evaluating large language model for tool learning.

upload big files to Zenodo using cURL, jq and bash

Code for the paper "Evaluating Large Language Models Trained on Code"

Running large language models on a single GPU for throughput-oriented scenarios.

A Deep Learning based project for colorizing and restoring old images (and video!)

A simple tool for detecting near-duplicate source code

Code for the paper "On the Expressivity Role of LayerNorm in Transformers' Attention" (Findings of ACL'2023)

Collected solutions from Google Code Jam programming competition (2008-2021).

Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

Automatically detect and generate missing assertions for Junit test cases (also known as test amplification)

Rust framework for LLM orchestration

Re-implementation of "CODE2SEQ: GENERATING SEQUENCES FROM STRUCTURED REPRESENTATIONS OF CODE"

Guide to using pre-trained large language models of source code

Official Repository of "A Fair Comparison of Graph Neural Networks for Graph Classification", ICLR 2020

Machine Learning to Deobfuscate Binaries