Stars
A fully differentiable implementation of SHA256
You like pytorch? You like micrograd? You love tinygrad! ❤️
Datasets, Transforms and Models specific to Computer Vision
User-friendly LLaMA: Train or Run the model using PyTorch. Nothing else.
Github action used to setup a K3D cluster and install Kubewarden stack on it
Mockoon is the easiest and quickest way to run mock APIs locally. No remote deployment, no account required, open source.
Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
Hydra is a framework for elegantly configuring complex applications
Streamlit app demonstrating an image browser for the Udacity self-driving-car dataset with realtime object detection using YOLO.
Source code for Neural Information Processing Systems (NeurIPS) 2018 paper "Multi-Task Learning as Multi-Objective Optimization"
HungaBunga: Brute-Force all sklearn models with all parameters using .fit .predict!
A very simple framework for state-of-the-art Natural Language Processing (NLP)
Raspberry Pi cross-compiler and sysroot in a Docker container.
OpenCL implementation running on the VideoCore IV GPU of the Raspberry Pi models
Learning to See in the Dark. CVPR 2018
Acceleration package for neural networks on multi-core CPUs
Light version of Network Dissection for Quantifying Interpretability of Networks
PyTorch implementation of 1712.06087 "Zero-Shot" Super-Resolution using Deep Internal Learning
Porting of Dlib's mmod deep learning face detector model to pytorch, and examples of using it for webcam detection, and face haluciniations
Python implementation of Robust Continuous Clustering
Exploiting Bitcoin prices patterns with Deep Learning.