Gareth's repositories
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
cookiecutter-pypackage
Cookiecutter template for a Python package.
DCGAN-tensorflow
A tensorflow implementation of "Deep Convolutional Generative Adversarial Networks"
DeepST
Deep Learning for Spatio-Temporal Data
detectron2
Detectron2 is FAIR's next-generation platform for object detection, segmentation and other visual recognition tasks.
EasyCLA
Repo for setting up EasyCLA, the tool we'll use to manage specification membership sigs
Election-Contrib
CS 123 Project
governance
Governance of the Keras API.
pyspark-glove
Implementing the GloVe algorithm in PySpark
h5py
HDF5 for Python -- The h5py package is a Pythonic interface to the HDF5 binary data format.
haystack
:mag: Haystack is an open source NLP framework that leverages pre-trained Transformer models. It enables developers to quickly implement production-ready semantic search, question answering, summarization and document ranking for a wide range of NLP applications.
langchain
🦜🔗 Build context-aware reasoning applications
locust-pinecone
Run load tests against your Pinecone index
Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
MiniProjects
Small projects exploring a particular concept
Multilabel-timeseries-classification-with-LSTM
Multi label time series classification with LSTM
NYCFrisk
Looking into NYC's stop and frisk data set.
pinecone-client
Pinecone.io client with excellent TypeScript support.
Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
pysal
PySAL is an open source cross-platform library of spatial analysis functions written in Python. It is intended to support the development of high level applications for spatial analysis.
spark-pinecone
An Apache Spark connector for Pinecone
zero-inflated-embedding
Code for the icml paper "zero inflated exponential family embedding"