Chameleon: A MatMul-Free TCN Accelerator for End-to-End Few-Shot and Continual Learning from Sequential Data

Streamlit — A faster way to build and share data apps.

A curated list of awesome self-supervised learning methods in videos

Event-based Vision Resources. Community effort to collect knowledge on event-based vision technology (papers, workshops, datasets, code, videos, etc)

MetaFormer Baselines for Vision (TPAMI 2024)

A python library for self-supervised learning on images.

Video+code lecture on building nanoGPT from scratch

The simplest, fastest repository for training/finetuning medium-sized GPTs.

Deep and online learning with spiking neural networks in Python

Automating PyTorch Lightning via simple yet expressive configurations

A complete computer science study plan to become a software engineer.

Various tools/utilities for PyTorch

Multi-layer Recurrent Neural Networks (LSTM, GRU, RNN) for character-level language models in Torch

LLM training in simple, raw C/CUDA

Software that can generate photos from paintings, turn horses into zebras, perform style transfer, and more.

Image-to-Image Translation in PyTorch

[CVPR 2024] Depth Anything: Unleashing the Power of Large-Scale Unlabeled Data. Foundation Model for Monocular Depth Estimation

Open Neural Network Exchange to C compiler.

Educational verilog library that supports IEEE754 floating point arithmetic with a parametrizable mantissa and exponent

This project builds on top of the TCN in https://github.com/locuslab/TCN and extends it with ResNeXt style blocks and depthwise separable convolutions.