Stars
A bunch of experiments using Large Language Models
Run your own AI cluster at home with everyday devices 📱💻 🖥️⌚
TensorFlow Lite Micro for Espressif Chipsets
Infrastructure to enable deployment of ML models to low-power resource-constrained embedded targets (including microcontrollers and digital signal processors).
This repo is copied from https://github.com/leoxiaobin/deep-high-resolution-net.pytorch
The project is an official implementation of our CVPR2019 paper "Deep High-Resolution Representation Learning for Human Pose Estimation"
Language model alignment-focused deep learning curriculum
llama3 implementation one matrix multiplication at a time
OpenMMLab Pose Estimation Toolbox and Benchmark.
Public facing notes page
proof of concept for a transformer-based time series prediction model
openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.
Some ipython notebooks implementing AI algorithms
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
You like pytorch? You like micrograd? You love tinygrad! ❤️
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
Siamese Recurrent Neural network with LSTM for evaluating semantic similarity between sentences.
Implementation of Siamese Neural Networks for One-shot Image Recognition
Siamese and triplet networks with online pair/triplet mining in PyTorch
InceptionTime: Finding AlexNet for Time Series Classification