Pinned Repositories
18330
18.330 Introduction to Numerical Analysis
18335
18.335 - Introduction to Numerical Methods course
18337
18.337 - Parallel Computing and Scientific Machine Learning
18S096SciML
18.S096 - Applications of Scientific Machine Learning
18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
2020-10-30-ODSC
Slides for a talk at the 2020 Open Data Science Conference (West)
Back-to-Python-Basics
Review of basic syntax of understanding and using Python. Much of the material is based off the "Python Crash Course" book by Eric Matthes.
Back-to-Python-for-Data-Basics
Review of basic syntax for using Python for understanding and analyzing data. Much of the material is based off syntax snippets pulled together by Chris Albon and the Deep Learning book by Ian Goodfellow, Yoshua Bengio, and Aaron Courville
llama
Inference code for LLaMA models
odsc-model-evaluation
NathanHundley's Repositories
NathanHundley/llama
Inference code for LLaMA models
NathanHundley/18335
18.335 - Introduction to Numerical Methods course
NathanHundley/18S191
Course 18.S191 at MIT, Spring 2021 - Introduction to computational thinking with Julia:
NathanHundley/bayesian_inference_pymc3
Jupyter Python notebook from conference talk on Bayesian inference with PyMC3.
NathanHundley/blog
Public repo for HF blog posts
NathanHundley/causal_ml_seminar
NathanHundley/datasets
🤗 The largest hub of ready-to-use NLP datasets for ML models with fast, easy-to-use and efficient data manipulation tools
NathanHundley/Deepfake-using-Wave2Lip
A deep learning model to lip-sync a given video with any given audio. It uses GAN architecture to orchestrate loss reconstruction or training.
NathanHundley/finetune-gpt2xl
Guide: Finetune GPT2-XL (1.5 Billion Parameters) and GPT-NEO (2.7 B) on a GPU with Huggingface Transformers using DeepSpeed
NathanHundley/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
NathanHundley/gpt-neox
An implementation of model parallel GPT-3-like models on GPUs, based on the DeepSpeed library. Designed to be able to train models in the hundreds of billions of parameters or larger.
NathanHundley/gym
A toolkit for developing and comparing reinforcement learning algorithms.
NathanHundley/missing-data-workshop
Matt Brems' Missing Data Workshop
NathanHundley/ml-workshop-advanced
NathanHundley/Network-Analysis-in-Python---Tutorial-ODSCWest20
Slides and code repository for 90 minutes training session held at ODSC West 2020.
NathanHundley/node-question-answering
Fast and production-ready question answering in Node.js
NathanHundley/notebooks
Notebooks using the Hugging Face libraries 🤗
NathanHundley/ODSC
tutorial for converting PyTorch to Lightning
NathanHundley/ODSC-East-2021
NathanHundley/ODSC-East-AB-Testing-Python-2021
This repo contains the data, code, and slides needed for this workshop
NathanHundley/ODSC_text_analysis
Materials for Exploratory Text Analysis with spaCy and textacy
NathanHundley/odsceast2021
Code for Modern Machine Learning in R
NathanHundley/Onnx_Runtime_Mobile_ODSC_Tutorial
Tutorial for ODSC East 2021, "ML Inference on Mobile Device With Onnx Runtime"
NathanHundley/onnxruntime
ONNX Runtime: cross-platform, high performance ML inferencing and training accelerator
NathanHundley/open-data-registry
A registry of publicly available datasets on AWS
NathanHundley/pytorch-lightning
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
NathanHundley/retro
Retro Games in Gym
NathanHundley/tokenizers
💥 Fast State-of-the-Art Tokenizers optimized for Research and Production
NathanHundley/Transformers-Tutorial
Advances in Conversational AI and NLP through Large Scale Language Models such as GPT-3
NathanHundley/webdataset