Efficiently Fine-Tune 100+ LLMs in WebUI (ACL 2024)

Structured state space sequence models

An implementation of model parallel autoregressive transformers on GPUs, based on the Megatron and DeepSpeed libraries

Mamba SSM architecture

RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference,…

The official repository for "Evaluating Entity Disambiguation and the Role of Popularity in Retrieval-Based NLP" published in ACL-IJNLP 2021.

Tensor library for machine learning

Notion-style WYSIWYG editor with AI-powered autocompletion.

Code for the paper "The Impact of Positional Encoding on Length Generalization in Transformers", NeurIPS 2023

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Super Productivity is an advanced todo list app with integrated Timeboxing and time tracking capabilities. It also comes with integrations for Jira, Gitlab, GitHub and Open Project.

Einsum with einops style variable names

A library for mechanistic interpretability of GPT-style language models

Deepchecks: Tests for Continuous Validation of ML Models & Data. Deepchecks is a holistic open-source solution for all of your AI & ML validation needs, enabling to thoroughly test your data and mo…

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

A Python Object-Document-Mapper for working with MongoDB

📚 Collaborative cheatsheets for console commands

Python packaging and dependency management made easy

ספר מלא בעברית על למידת מכונה ולמידה עמוקה

An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.

A script that you can run in the background!

Open source annotation tool for machine learning practitioners.

Explaining Anomalies Detected by Autoencoders Using SHAP

Transformers for Information Retrieval, Text Classification, NER, QA, Language Modelling, Language Generation, T5, Multi-Modal, and Conversational AI

Deep Learning sample programs using PyTorch in C++

Tensors and Dynamic neural networks in Python with strong GPU acceleration

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

PyTorch implementation of TabNet paper : https://arxiv.org/pdf/1908.07442.pdf

The Numenta Anomaly Benchmark