Stars
PyTorch implementation of Infini-Transformer from "Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention" (https://arxiv.org/abs/2404.07143)
Unofficial PyTorch/🤗Transformers(Gemma/Llama3) implementation of Leave No Context Behind: Efficient Infinite Context Transformers with Infini-attention
The purpose of the catalog is to help data science teams to collect all the requirements to consider while building a ML model and productionizing it.
Core repository of the retico framework providing the basic functionality of incremental processing.
A gradio web UI for running Large Language Models like GPT-J 6B, OPT, GALACTICA, LLaMA, and Pygmalion.
Survey of Surveys for Natural Language Processing (SOS4NLP)
A Dialogue system that is able to recommend movies based on user preferences like director, starring actor/actress and genre. It can also answer queries about recommended movies. It accesses data v…
Master programming by recreating your favorite technologies from scratch.
A live speech recognition using Facebooks wav2vec 2.0 model.
A repo for open resources & information for people to succeed in PhD in CS & career in AI / NLP
Embeddings for ontologies in the Description Logic EL++
This shows how to fine-tune Bert language model and use PyTorch-transformers for text classififcation
jalammar / jalammar.github.io
Forked from barryclark/jekyll-nowBuild a Jekyll blog in minutes, without touching the command line.
Resources and tools for Indian language Natural Language Processing
Based on the Pytorch-Transformers library by HuggingFace. To be used as a starting point for employing Transformer models in text classification tasks. Contains code to easily train BERT, XLNet, Ro…
Minima is a one-size-fits-all Jekyll theme for writers.
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
Natural Language Processing Best Practices & Examples
List of Research Internships for Undergraduate Students
Re-write of code from Simple Reinforcement Learning with Tensorflow tutorial
Fault-tolerant, highly scalable GPU orchestration, and a machine learning framework designed for training models with billions to trillions of parameters
Papers from the computer science community to read and discuss.
PyTorch for Deep Learning and Computer Vision Course
Object detection, 3D detection, and pose estimation using center point detection:
A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.