Pinned Repositories
Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
CHABCNet
[CHABCNet] ABCNet on the Chinese dataset, building on Detectron2 (Facebook AI Research)
CMU11-785
:dizzy: 11-785 Introduction to Deep Learning Fall 2018
LIS-YNP
:crystal_ball: Life is short, you need PyTorch.
Mathematical_Modeling
:confetti_ball: Mathematical Modeling Algorithms and Applications
MNMT
Pytorch implementation of Multimodal Neural Machine Translation(MNMT).
MulT
[Reproduce] Code for the ACL2019 paper "Multimodal Transformer for Unaligned Multimodal Language Sequences".
Research_Papers
Record some papers I have read and paper notes I have taken, also including some awesome papers reading lists and academic blog posts.
Research_Trends
Collect the Best Papers from the Top Conferences, also including statistics and visualization keywords of accepted papers from Top Conferences.
transformers
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
Eurus-Holmes's Repositories
Eurus-Holmes/Awesome-Multimodal-Research
A curated list of Multimodal Related Research.
Eurus-Holmes/CHABCNet
[CHABCNet] ABCNet on the Chinese dataset, building on Detectron2 (Facebook AI Research)
Eurus-Holmes/SynthText_CH
[SynthText Chinese] Improved code for generating synthetic text images as described in "Synthetic Data for Text Localisation in Natural Images", Ankush Gupta, Andrea Vedaldi, Andrew Zisserman, CVPR 2016.
Eurus-Holmes/Heterogeneous_Sampling
Eurus-Holmes/Eurus-Holmes
Eurus-Holmes/GNNPapers
Eurus-Holmes/MT-Reading-List
A machine translation reading list maintained by Tsinghua Natural Language Processing Group
Eurus-Holmes/ai-deadlines
:alarm_clock: AI conference deadline countdowns
Eurus-Holmes/bert
TensorFlow code and pre-trained models for BERT
Eurus-Holmes/CMU-MultimodalSDK
CMU MultimodalSDK is a machine learning platform for development of advanced multimodal models as well as easily accessing advanced multimodal datasets.
Eurus-Holmes/deep-learning-drizzle
Drench yourself in Deep Learning, Reinforcement Learning, Machine Learning, Computer Vision, and NLP by learning from these exciting lectures!!
Eurus-Holmes/leetcode-program
LeetCode practice task generator.
Eurus-Holmes/nematus
Open-Source Neural Machine Translation in Tensorflow
Eurus-Holmes/nni
An open source AutoML toolkit for neural architecture search and hyper-parameter tuning. https://microsoft.github.io/nni/
Eurus-Holmes/OpenNMT-py
Open Source Neural Machine Translation in PyTorch
Eurus-Holmes/reinforcement-learning
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Eurus-Holmes/github-readme-stats
:zap: Dynamically generated stats for your github readmes
Eurus-Holmes/julia
The Julia Language: A fresh approach to technical computing.
Eurus-Holmes/Multimodal-Attack
Eurus-Holmes/AdelaiDet
AdelaiDet is an open source toolbox for multiple instance-level detection and recognition tasks.
Eurus-Holmes/awesome-sentiment-analysis
Reading list for Awesome Sentiment Analysis papers
Eurus-Holmes/CS269-projects-2022spring
Eurus-Holmes/dgl
Python package built to ease deep learning on graph, on top of existing DL frameworks.
Eurus-Holmes/diffq
DiffQ performs differentiable quantization using pseudo quantization noise. It can automatically tune the number of bits used per weight or group of weights, in order to achieve a given trade-off between model size and accuracy.
Eurus-Holmes/gemma
Open weights LLM from Google DeepMind.
Eurus-Holmes/gemma_pytorch
The official PyTorch implementation of Google's Gemma models
Eurus-Holmes/latent-diffusion
High-Resolution Image Synthesis with Latent Diffusion Models
Eurus-Holmes/llama
Inference code for LLaMA models
Eurus-Holmes/Summer2022-Internships-1
Collection of Summer 2022 tech internships!
Eurus-Holmes/unilm
Large-scale Self-supervised Pre-training Across Tasks, Languages, and Modalities