GPT-3: Language Models are Few-Shot Learners

CLIP (Contrastive Language-Image Pretraining), Predict the most relevant text snippet given an image

Portfolio and risk analytics in Python

Zipline, a Pythonic Algorithmic Trading Library

Code and resources for papers "Generation-Augmented Retrieval for Open-Domain Question Answering" and "Reader-Guided Passage Reranking for Open-Domain Question Answering", ACL 2021

Python package built to ease deep learning on graph, on top of existing DL frameworks.

Automated Machine Learning on Kubernetes

Classical equations and diagrams in machine learning

100 Days of ML Coding

Set of vectorizers that extract keyphrases with part-of-speech patterns from a collection of text documents and convert them into a document-keyphrase matrix.

Minimal keyword extraction with BERT

Python Keyphrase Extraction module

A very simple framework for state-of-the-art Natural Language Processing (NLP)

ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators

Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Domain Specific BERT Model for Text Mining in Sustainable Investing

[A Conditional Denoising Diffusion Probabilistic Model for Point Cloud Upsampling, 2024, CVPR]

Implementation of SoundStorm, Efficient Parallel Audio Generation from Google Deepmind, in Pytorch

Fine-Tuning Image-Conditional Diffusion Models is Easier than You Think

MLLM for On-Demand Spatial-Temporal Understanding at Arbitrary Resolution

Kolmogorov-Arnold Transformer: A PyTorch Implementation with CUDA kernel

Dynamic 2D Gaussians: Geometrically accurate radiance fields for dynamic objects

Time-MoE: Billion-Scale Time Series Foundation Models with Mixture of Experts

a sklearn wrapper for Google's BERT model

[ECCV 2024] DGInStyle: Domain-Generalizable Semantic Segmentation with Image Diffusion Models and Stylized Semantic Control

DSPy: The framework for programming—not prompting—foundation models