Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.

Models and examples built with TensorFlow

YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite

openpilot is an operating system for robotics. Currently, it upgrades the driver assistance system on 275+ supported cars.

Deep Learning papers reading roadmap for anyone who are eager to learn this amazing tech!

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

Investment Research for Everyone, Everywhere.

A toolkit for developing and comparing reinforcement learning algorithms.

Python tool for converting files and office documents to Markdown.

The largest collection of PyTorch image encoders / backbones. Including train, eval, inference, export scripts, and pretrained weights -- ResNet, ResNeXT, EfficientNet, NFNet, Vision Transformer (V…

Cross-platform, fast, feature-rich, GPU based terminal

Machine Learning From Scratch. Bare bones NumPy implementations of machine learning models and algorithms with a focus on accessibility. Aims to cover everything from linear regression to deep lear…

Python sample codes for robotics algorithms.

Python logging made (stupidly) simple

Datasets, Transforms and Models specific to Computer Vision

Code samples for my book "Neural Networks and Deep Learning"

WhisperX: Automatic Speech Recognition with Word-level Timestamps (& Diarization)

Open source code for AlphaFold 2.

Object Detection toolkit based on PaddlePaddle. It supports object detection, instance segmentation, multiple object tracking and real-time multi-person keypoint detection.

Annotate better with CVAT, the industry-leading data engine for machine learning. Used and trusted by teams at any scale, for data of any scale.

Semantic segmentation models with 500+ pretrained convolutional and transformer-based backbones.

A python library built to empower developers to build applications and systems with self-contained Computer Vision capabilities

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

A python library for user-friendly forecasting and anomaly detection on time series.

NanoDet-Plus⚡Super fast and lightweight anchor-free object detection model. 🔥Only 980 KB(int8) / 1.8MB (fp16) and run 97FPS on cellphone🔥

Deep Reinforcement Learning for Keras.

Segmentation models with pretrained backbones. Keras and TensorFlow Keras.

Python framework for building microservices

Mac-style shortcut keys for Linux & Windows.

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"