Jake Tae's Projects
🚀 A simple way to train and use PyTorch models with multi-GPU, TPU, mixed-precision
PyTorch implementation of Train Short, Test Long: Attention with Linear Biases Enables Input Length Extrapolation
Fine-tuning and zero-shot learning with transformers to automatically tag my study blog posts
PyTorch implementation of Conformer: Convolution-augmented Transformer for Speech Recognition
🤗 Fast, efficient, open-access datasets and evaluation metrics in PyTorch, TensorFlow, NumPy and Pandas
A neural approach to malware detection in portable executables
🤗 Diffusers: State-of-the-art diffusion models for image and audio generation in PyTorch
Ensembling Hugging Face transformers made easy
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Fine-tuning and deploying BERT through FastAPI
PyTorch implementation of FNet: Mixing Tokens with Fourier transforms
PyTorch implementation of Pay Attention to MLPs
Graph neural ordinary differential equations
Language Modeling with the H3 State Space Model
Reimagining the newly constructed Hillhouse Avenue of Yale University
Image classifier web application based on MobileNet, built using Flask, TensorFlow, and Matplotlib
The Unified Machine Learning Framework
Personal blog with Jupyter notebooks
KoCLIP: Korean port of OpenAI CLIP, in Flax
A toolkit for identifying pretrained language models from potentially AI-generated text
Machine learning algorithms implemented from scratch with NumPy
PyTorch implementation of MLP-Mixer: An all-MLP Architecture for Vision
Neural network compression with SVD
PyTorch implementation of Lessons on Parameter Sharing across Layers in Transformers
PPETrackr is a web app that provides local governments with PPE inventory analytics from healthcare facilities.
What can neural nets learn about prime numbers?
Toolkit for collecting and applying prompts
Pure Python autograd library based on NumPy
PyTorch implementation of RealFormer: Transformer Likes Residual Attention