Stars
A PyTorch implementation for exploring deep and shallow knowledge distillation (KD) experiments with flexibility
jimmykimmy68 / fairseq
Forked from facebookresearch/fairseqFacebook AI Research Sequence-to-Sequence Toolkit written in Python.
jimmykimmy68 / attention-is-all-you-need-pytorch
Forked from jadore801120/attention-is-all-you-need-pytorchA PyTorch implementation of the Transformer model in "Attention is All You Need".
jimmykimmy68 / awesome-self-supervised-learning
Forked from jason718/awesome-self-supervised-learningA curated list of awesome self-supervised methods
A CV toolkit for my papers.
jimmykimmy68 / SimCLR
Forked from sthalles/SimCLRPyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations
jimmykimmy68 / applied-ml
Forked from eugeneyan/applied-ml๐ Papers & tech blogs by companies sharing their work on data science & machine learning in production.
Unsupervised Feature Learning via Non-parametric Instance Discrimination
jimmykimmy68 / vissl
Forked from facebookresearch/visslVISSL is FAIR's library of extensible, modular and scalable components for SOTA Self-Supervised Learning with images.
jimmykimmy68 / DALL-E
Forked from openai/DALL-EPyTorch package for the discrete VAE used for DALLยทE.
jimmykimmy68 / ganomaly
Forked from samet-akcay/ganomalyGANomaly: Semi-Supervised Anomaly Detection via Adversarial Training
A PyTorch implementation of the Deep SVDD anomaly detection method
Anomaly Detection: Nelson Rules for Control Chart - Python implementation
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this repository is for the research of kl-regularized rl methods
Leo-Lee92 / Appendix-of-Human--or-artificial-intelligence-designed-diets
Forked from pki663/Appendix-of-Human--or-artificial-intelligence-designed-dietsStudy to develop an artificial intelligence which designs a daily diet for 3-5 years old children using Deep Q-learning
A Python library for solving maximum coverage location problem
A reader for MPS and QPS files
A comprehensive julia package to optimize a linear function over the efficient set of a Bi-Objective Mixed Integer Linear Programming problem.
Deep Learning Zero to All - Pytorch
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Codes for the book "Julia Programming for Operations Research"
yeongjaeGil / d2l-pytorch
Forked from alzayats/d2l-pytorchThis project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.