HuggingFace Tutorials: A comprehensive repository featuring hands-on tutorials and examples for leveraging HuggingFace's NLP models and tools. Perfect for beginners and experts aiming to master state-of-the-art AI technologies.

Neural machine translation English - Vietnamese with Transformer.

A high-throughput and memory-efficient inference and serving engine for LLMs

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

[Mamba-Survey-2024] Paper list for State-Space-Model/Mamba and it's Applications

Code for "LGFCTR: Local and Global Feature Transformer for Image Matching"

AsymmetriC AutoeNcodEr (ACANE → AkAne). This model is part of MSc Electrochemistry and Battery Technologies project (2022 - 2023), University of Southampton.

Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.

Large Language Model Text Generation Inference

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.

A high-performance inference system for large language models, designed for production environments.

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, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.

Code I used for my YouTube videos

JetStream is a throughput and memory optimized engine for LLM inference on XLA devices, starting with TPUs (and GPUs in future -- PRs welcome).

Automated discovery and classification of websites content through unsupervised learning approach

[ICLR 2024] SemiReward: A General Reward Model for Semi-supervised Learning

Simple Contrastive Embedding of the Primary sequence of T cell Receptors

A collection of the the best ML and AI news every week (research, news, resources)

Text-based modeling of materials.