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Style your webpage like Edward Tufte’s handouts.
AI Crash Course to help busy builders catch up to the public frontier of AI research in 2 weeks
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
A tiny scalar-valued autograd engine and a neural net library on top of it with PyTorch-like API
Get up and running with Llama 3.3, DeepSeek-R1, Phi-4, Gemma 3, and other large language models.
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
OpenPCDet Toolbox for LiDAR-based 3D Object Detection.
gRPC server for hosting ML models trained on any framework in python
Open source visual object tracking library in python
Tracking Benchmark for Correlation Filters
Models and examples built with TensorFlow
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
Theano was a Python library that allows you to define, optimize, and evaluate mathematical expressions involving multi-dimensional arrays efficiently. It is being continued as PyTensor: www.github.…
Documentation on how to access and use the Quick, Draw! Dataset.
Microsoft Cognitive Toolkit (CNTK), an open source deep-learning toolkit
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Implementation of Deep Feature Interpolation in Tensorflow using a VGG19 model
An Open Source Machine Learning Framework for Everyone
Caffe2 is a lightweight, modular, and scalable deep learning framework.
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.