Pinned Repositories
beagle-linux
The official BeagleBoard and BeagleBone kernel repository
Celebrity-Identification-Neural-Network
Identify a potential celebrity base on a person picture
chatbot-facebook-v2-start
start code for udemy chatbots for facebook course
citius-invaders
An old-style HTML5 arcade game for teaching genetic algorithms to kids, made with PhaserJS
Classification
Classification Algorithms
CLIP
Contrastive Language-Image Pretraining
dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
lstm-attention-chatbot
Chatbot created in multi-level LSTM model with attention, training with movie conversations
notes-app
Notes web app created in React.js
suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
moseswmwong's Repositories
moseswmwong/Celebrity-Identification-Neural-Network
Identify a potential celebrity base on a person picture
moseswmwong/dino
PyTorch code for Vision Transformers training with the Self-Supervised learning method DINO
moseswmwong/suncet
Code to reproduce the results in the FAIR research papers "Semi-Supervised Learning of Visual Features by Non-Parametrically Predicting View Assignments with Support Samples" https://arxiv.org/abs/2104.13963 and "Supervision Accelerates Pre-training in Contrastive Semi-Supervised Learning of Visual Representations" https://arxiv.org/abs/2006.10803
moseswmwong/CLIP
Contrastive Language-Image Pretraining
moseswmwong/notes-app
Notes web app created in React.js
moseswmwong/DALL-E
PyTorch package for the discrete VAE used for DALL·E.
moseswmwong/DeepLearningExamples
Deep Learning Examples
moseswmwong/Detectron
FAIR's research platform for object detection research, implementing popular algorithms like Mask R-CNN and RetinaNet.
moseswmwong/Electra-Tweets-Classifier
Electra Tweets Classifer V4 Released on Kaggle.com - by Moses Waiming Wong
moseswmwong/fewglue
This repository contains the FewGLUE dataset for few-shot natural language understanding.
moseswmwong/Frequalizer
Equalizer using JUCE new dsp module
moseswmwong/gpt-2
Code for the paper "Language Models are Unsupervised Multitask Learners"
moseswmwong/gpt-2-output-dataset
Dataset of GPT-2 outputs for research in detection, biases, and more
moseswmwong/gpt-3
GPT-3: Language Models are Few-Shot Learners
moseswmwong/GPT2
An implementation of training for GPT2, supports TPUs
moseswmwong/ic
Source project for the Internet Computer software
moseswmwong/imagezmq
A set of Python classes that transport OpenCV images from one computer to another using PyZMQ messaging.
moseswmwong/Mask_RCNN
Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow
moseswmwong/maskrcnn-benchmark
Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.
moseswmwong/mindspore
MindSpore is a new open source deep learning training/inference framework that could be used for mobile, edge and cloud scenarios.
moseswmwong/models
Models and examples built with TensorFlow
moseswmwong/natural-language-processing
Resources for "Natural Language Processing" Coursera course.
moseswmwong/NeMo
NeMo: a toolkit for conversational AI
moseswmwong/pet
This repository contains the code for "Exploiting Cloze Questions for Few-Shot Text Classification and Natural Language Inference"
moseswmwong/retinanet-examples
Fast and accurate object detection with end-to-end GPU optimization
moseswmwong/tensorpack
A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility
moseswmwong/Text_Classification_with_fine_tuned_BERT_model
moseswmwong/TextClassificationCNN
Simple Text Classification with CNN in PyTorch
moseswmwong/TorahBibleCodes
Torah Bible Codes - Open-Source
moseswmwong/transformers
🤗Transformers: State-of-the-art Natural Language Processing for Pytorch and TensorFlow 2.0.