subrota's repositories
adv_nlp_workshop_odsc_europe22
Extensive tutorials for the Advanced NLP Workshop in Open Data Science Conference Europe 2020. We will leverage deep learning and deep transfer learning to solve popular tasks in NLP including Classification, Information Retrieval, Sentiment Analysis, Search Engines, Clustering, Paraphrase Mining, Summarization, Language Translation, Q&A systems
Applied-Deep-Learning
Applied Deep Learning Course
Auto-PyTorch
Automatic architecture search and hyperparameter optimization for PyTorch
autokeras
AutoML library for deep learning
awesome-machine-translation
A list of awesome Machine Translation frameworks, libraries, software and papers
bnlp
BNLP is a natural language processing toolkit for Bengali Language.
ccf-deadlines
⏰ Collaboratively track deadlines of conferences recommended by CCF (Website, Python Cli, Wechat Applet) / If you find it useful, please star this project, thanks~
custom-pod-autoscaler-operator
Operator for managing Kubernetes Custom Pod Autoscalers (CPA).
Deep-Learning-for-Computer-Vision
Deep Learning for Computer Vision, by Packt
deep_learning_for_vision_systems
This repository accompanies the book "Deep Learning for Vision Systems".
denoising-diffusion-pytorch
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
diffusion
Denoising Diffusion Probabilistic Models
DiscreteVAE
Repository for the implementation of DiscreteVAE
former
Simple transformer implementation from scratch in pytorch.
hanbaobao
Google Chrome extension that helps you learn Chinese, by providing a dictionary and also shows known words.
intro-transformers-nlp
Source Code for 'Introduction to Transformers for NLP' by Shashank Mohan Jain
ltiauthenticator
A JupyterHub authenticator for LTI
nlp-journey
Documents, papers and codes related to Natural Language Processing, including Topic Model, Word Embedding, Named Entity Recognition, Text Classificatin, Text Generation, Text Similarity, Machine Translation)，etc. All codes are implemented intensorflow 2.0.
Practical-Deep-Reinforcement-Learning-with-Python
Practical Deep Reinforcement Learning with Python, by BPB Publications
python_for_microscopists
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
pytorch-stable-diffusion
Stable Diffusion implemented from scratch in PyTorch
PyTorchStepByStep
Official repository of my book: "Deep Learning with PyTorch Step-by-Step: A Beginner's Guide"
RWKV-LM
RWKV is an RNN with transformer-level LLM performance. It can be directly trained like a GPT (parallelizable). So it's combining the best of RNN and transformer - great performance, fast inference, saves VRAM, fast training, "infinite" ctx_len, and free sentence embedding.
TensorFlow2.0-Examples
🙄 Difficult algorithm, Simple code.
TransCan
An English-to-Cantonese machine translation model
yolov5
YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite