Stars
Sweep: AI coding assistant for JetBrains
Visualizations for machine learning datasets
Evidently is an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.
A course in reinforcement learning in the wild
A scikit-learn compatible neural network library that wraps PyTorch
Silero Models: pre-trained text-to-speech models made embarrassingly simple
Go to https://github.com/pytorch/tutorials - this repo is deprecated and no longer maintained
A python library for decision tree visualization and model interpretation.
[ICLR24] Official PyTorch Implementation of Magic123: One Image to High-Quality 3D Object Generation Using Both 2D and 3D Diffusion Priors
Neural Style and MSG-Net
Large scale K-means and K-nn implementation on NVIDIA GPU / CUDA
TensorFlow implementation of an arbitrary order Factorization Machine
Resources for "Introduction to Deep Learning" course.
Materials for "How to Win a Data Science Competition: Learn from Top Kagglers" course
pytorch version of spatial transformer networks
Training Very Deep Neural Networks Without Skip-Connections
PyTorch and Tensorflow functional model definitions
Epipolar Transformers (best paper award, CVPR 2020 workshop)
Speech Recognition with the Caffe deep learning framework, migrating to
Sparse Variational Dropout, ICML 2017
Code for the ICPR 2020 paper: "CURL: Neural Curve Layers for Image Enhancement"
Gradient based hyperparameter optimization & meta-learning package for TensorFlow
Insightface face detection and recognition model that just works out of the box.
This repository contains code for paper "Learning Deep Embeddings with Histogram Loss" (NIPS2016)
Structured Bayesian Pruning, NIPS 2017