Stars
Aim π« β An easy-to-use & supercharged open-source experiment tracker.
Generate Heroku-like random names to use in your python applications
A simple OpenAI Gym environment for single and multi-agent reinforcement learning
Learn how to design large-scale systems. Prep for the system design interview. Includes Anki flashcards.
Toolkit to help understand "what lies" in word embeddings. Also benchmarking!
Π’ΠΈΠΌΠ»ΠΈΠ΄ β ΡΡΠΎ βοΈ, ΠΏΠΎΡΠΎΠΌΡ ΡΡΠΎ Π² ΠΊΠ°ΠΆΠ΄ΠΎΠΉ ΠΊΠΎΠΌΠΏΠ°Π½ΠΈΠΈ ΠΎΠ½ ΡΠ½ΠΈΠΊΠ°Π»Π΅Π½ ΠΈ Π½Π΅ΠΏΠΎΠ²ΡΠΎΡΠΈΠΌ.
π Awesome lists about all kinds of interesting topics
A curated list of awesome open source libraries to deploy, monitor, version and scale your machine learning
Multi-Task Deep Neural Networks for Natural Language Understanding
Tensors and Dynamic neural networks in Python with strong GPU acceleration
Utilizing BERT for Aspect-Based Sentiment Analysis via Constructing Auxiliary Sentence (NAACL 2019)
π§ Email reply parser library for Python
π Scalable embedding, reasoning, ranking for images and sentences with CLIP
A simple method to augment text by using NMT (neural machine translation).
TensorFlow code and pre-trained models for BERT
VIP cheatsheets for Stanford's CS 229 Machine Learning
YSDA course in Natural Language Processing
π€ awesome-semantic-segmentation
Repository to track the progress in Natural Language Processing (NLP), including the datasets and the current state-of-the-art for the most common NLP tasks.
A Guide to Scaling Machine Learning Models in Production
A collection of popular Data Science Challenges/Competitions || Countdown timers to keep track of the entry deadlines.
Morphological analyzer / inflection engine for Russian and Ukrainian languages.
Basic Utilities for PyTorch Natural Language Processing (NLP)