DrChungAlbert

DrChungAlbert

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DrChungAlbert's repositories

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Codes-for-Lane-Detection

Learning Lightweight Lane Detection CNNs by Self Attention Distillation (ICCV 2019)

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darkflow

Translate darknet to tensorflow. Load trained weights, retrain/fine-tune using tensorflow, export constant graph def to mobile devices

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deeplearning4j

Deep Learning for Java, Scala & Clojure on Hadoop & Spark With GPUs - From Skymind

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Detectron

FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.

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DIGITS

Deep Learning GPU Training System

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DL4NLP

Deep Learning for NLP resources

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fast-rcnn

Fast R-CNN

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have-fun-with-machine-learning

An absolute beginner's guide to Machine Learning and Image Classification with Neural Networks

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jetson-inference

Guide to deploying deep-learning inference networks and deep vision primitives with TensorRT and Jetson TX1.

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keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on TensorFlow or Theano.

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lab

A customisable 3D platform for agent-based AI research

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learnopencv

Learn OpenCV : C++ and Python Examples

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lectures

Oxford Deep NLP 2017 course

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libfreenect2

Open source drivers for the Kinect for Windows v2 device

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machine_learning_examples

A collection of machine learning examples and tutorials.

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MLND-Capstone

Lane Detection with Deep Learning - My Capstone project for Udacity's ML Nanodegree

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models

Models built with TensorFlow

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mosquitto

Mosquitto

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nanoGPT

The simplest, fastest repository for training/finetuning medium-sized GPTs.

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Neural-Networks-on-Silicon

This is a collection of works on neural networks and neural accelerators.

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ORB_SLAM2

Real-Time SLAM for Monocular, Stereo and RGB-D Cameras, with Loop Detection and Relocalization Capabilities

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Paddle

PArallel Distributed Deep LEarning

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pipeline

PipelineAI: End-to-End ML and AI Platform for Real-time Spark and Tensorflow Data Pipelines

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segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

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tensorflow

Computation using data flow graphs for scalable machine learning

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traffic-sign-detection

Real-time traffic sign detection using Gielis curves

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warp-ctc

Fast parallel CTC.

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word-rnn-tensorflow

Multi-layer Recurrent Neural Networks (LSTM, RNN) for word-level language models in Python using TensorFlow.

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