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🌟 The Multi-Agent Framework: First AI Software Company, Towards Natural Language Programming

The Memory layer for AI Agents

State-of-the-Art Text Embeddings

Parallel computing with task scheduling

Semantic cache for LLMs. Fully integrated with LangChain and llama_index.

TensorFlowOnSpark brings TensorFlow programs to Apache Spark clusters.

Caffe models in TensorFlow

PyTorch implementation of image classification models for CIFAR-10/CIFAR-100/MNIST/FashionMNIST/Kuzushiji-MNIST/ImageNet

My best practice of training large dataset using PyTorch.

Scalable Machine Learning with Dask

Standalone TFRecord reader/writer with PyTorch data loaders

Text classification using deep learning models in Pytorch

A machine learning package for streaming data in Python. The other ancestor of River.

A PyTorch implementation of L-BFGS.

Implementation of State-of-the-art Text Classification Models in Pytorch

A collection of apps powered by the LangChain LLM framework.

writings or translations

Command-line tool to inspect the difference between (the text in) two PDF files

Online Deep Learning: Learning Deep Neural Networks on the Fly / Non-linear Contextual Bandit Algorithm (ONN_THS)

Linear SVM with PyTorch

PyTorch implementation of some text classification models (HAN, fastText, BiLSTM-Attention, TextCNN, Transformer) | 文本分类

[EMNLP 2024 (Oral)] Leave No Document Behind: Benchmarking Long-Context LLMs with Extended Multi-Doc QA

Matryoshka Multimodal Models

Use scipy.optimize.minimize as a PyTorch Optimizer.

Improved LBFGS and LBFGS-B optimizers in PyTorch.

Code and pretrained models for the paper: "MatMamba: A Matryoshka State Space Model"

Spark on ECS