AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks

A set of LangChain Tutorials from my youtube channel

Multimodal RAG using Langchain

Codes to complement YouTube videos and blog posts on Medium.

Notebooks for the videos in the "Deep Learning 101" playlist

The homepage for #MahsaAmini

Reinforcement Learning guided Multi-task Learning Framework for Stereotype Detection

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

Core smart contracts

Patent analysis using the Google Patents Public Datasets on BigQuery

very currency

Official repository for "SimpleTOD: A Simple Language Model for Task-Oriented Dialogue"

[ECCV 2020] XingGAN for Person Image Generation

State-of-the-Art Embeddings, Retrieval, and Reranking

Reinforced Recommendation toolkit built around pytorch 1.7

Source code of CHAMELEON - A Deep Learning Meta-Architecture for News Recommender Systems

The baselines used in the CoQA paper

SDNet

Text classification based on RNN using pytorch

Conversational Question Answering

PyTorch implementation of charRNN neural network

🤗 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.

Best Practices on Recommendation Systems

Deep recommender models using PyTorch.

A desktop application that allows users to locally test and debug chat bots built with the Bot Framework SDK.

A PyTorch implementation of OpenAI's finetuned transformer language model with a script to import the weights pre-trained by OpenAI

reproducing dialogue models

🛠 Python project template generator with batteries included