A curated list of awesome things related to Strapi

Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).

Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.

PyTorch Tutorial on google colaboratory.

Sharing Updatable Models (SUM) on Blockchain

Gradient based receptive field estimation for Convolutional Neural Networks

Torch and TorchVision, but for NodeJS.

A comprehensive list of Deep Learning / Artificial Intelligence and Machine Learning tutorials - rapidly expanding into areas of AI/Deep Learning / Machine Vision / NLP and industry specific areas …

[ICLR 2020] Once for All: Train One Network and Specialize it for Efficient Deployment

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

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.

Open3D: A Modern Library for 3D Data Processing

OpenBot leverages smartphones as brains for low-cost robots. We have designed a small electric vehicle that costs about $50 and serves as a robot body. Our software stack for Android smartphones su…

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

Code for visualizing the loss landscape of neural nets

Pretrained EfficientNet, EfficientNet-Lite, MixNet, MobileNetV3 / V2, MNASNet A1 and B1, FBNet, Single-Path NAS

A simple pytorch implementation of CenterNet (CenterNet: Keypoint Triplets for Object Detection)

Implementation of the paper Self-Supervised Learning of Pretext-Invariant Representations

Hummingbird compiles trained ML models into tensor computation for faster inference.

Some UI components for Jupyter Lab

加入关键点的darknet训练框架，轻量级的人脸检测，支持ncnn推理

C# SDK for Alpaca Trade API https://docs.alpaca.markets/

Source code for Algorithmic Trading with Python (2020) by Chris Conlan

A command line shell for trading stocks using Robinhood

AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.

Useful code of Manuel Ignacio López Quintero

YOLOv4, YOLOv4-tiny, YOLOv3, YOLOv3-tiny Implemented in Tensorflow 2.0, Android. Convert YOLO v4 .weights tensorflow, tensorrt and tflite

YOLOv4 / Scaled-YOLOv4 / YOLO - Neural Networks for Object Detection (Windows and Linux version of Darknet )

PyTorch implementation of AANets (CVPR 2021) and Mnemonics Training (CVPR 2020 Oral)

Track Advancement of SLAM 跟踪SLAM前沿动态【2021 version】業務調整，暫停更新